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mcptools

Useful MCP Tools to use with LLM Coding Agents

Overview

mcptools is a Model Context Protocol (MCP) server that exposes various tools for LLM agents to interact with external services. Currently provides tools for:

  • Atlassian Jira: Search, create, update, inspect transitions, and manage issue links and saved queries (jira_search, jira_create, jira_get, jira_update, jira_transition_list, jira_link_list, jira_link_type_list, jira_link_create, jira_link_delete)
  • Atlassian Confluence: Search, read, create, and update pages (confluence_search, confluence_page_get, confluence_page_create, confluence_page_update)
  • Atlassian Bitbucket: List and read pull requests with diff support; add, list, update, delete, resolve, and reopen comments; create and delete repository branches. See Bitbucket.
  • Linear: Read a bounded issue dependency graph and ready-to-start frontier (linear_issue_graph); see Linear for all Linear tools.
  • Lanes: Read Git worktrees, assess and apply guarded cleanup, and create Worktrunk lanes (lane_list, lane_cleanup_plan, lane_cleanup_apply, lane_create; CLI lane cleanup). Disabled until the operator sets MCPTOOLS_LANE_REPOS. Apply replans and uses non-force worktree and merged-branch deletion. No merge or push. See Lane security and contracts.
  • HackerNews: Access HN posts, comments, and stories (hn_read_item, hn_list_items)
  • Web Scraping: Fetch pages as Markdown with CSS selection and pagination (md_fetch, md_toc); render Markdown as self-contained offline HTML with Mermaid (md_render)
  • PDF Navigation: Parse PDF documents into navigable trees, read sections, peek at content, and extract images (pdf_toc, pdf_read, pdf_peek, pdf_images, pdf_image, pdf_info)
  • Images: Generate, edit, and vary images with GPT Image 2.6 via subscription or API key (images_generate, images_edit, images_vary)
  • UI Annotations: Query and manage UI annotations from a calendsync dev server (ui_annotations_list, ui_annotations_get, ui_annotations_resolve, ui_annotations_clear)
  • Plan canvas: Share an editable tldraw plan with a phone and return saved changes to an agent (plan_write, plan_url, plan_close, plan_diff, plan_png). See Plan canvas.

Installation

# Build and install to ~/.local/bin
cargo xtask install

# Or specify a custom installation path
cargo xtask install --path /usr/local/bin

Usage

MCP transports

Local agents normally spawn mcptools mcp stdio and exchange JSON-RPC over standard input and output. Web clients can instead run mcptools mcp sse --port 3000 --host 127.0.0.1; its endpoints are GET /sse and POST /message.

How agents invoke mcptools

The stdio server has three invocation modes:

Mode Start command or environment tools/list returns Agent workflow
Plain mcptools mcp stdio Every registered tool Call a listed tool directly with MCP tools/call.
Discovery mcptools mcp stdio --discovery or MCPTOOLS_DISCOVERY=true find_tools, call_tool Find declarations for the task, then invoke one catalog tool through call_tool.
Code mcptools mcp stdio --code-mode or MCPTOOLS_CODE_MODE=true find_tools, execute, call_tool Use call_tool for one catalog call or execute to chain calls in one round trip.

Tool definitions in tools/list can consume model context on every turn, depending on how the host presents them. Plain mode avoids discovery indirection but repeatedly exposes every schema. Discovery and code mode reduce that recurring definition cost in exchange for lookup and wrapper calls; code mode can also keep intermediate results inside one execute call. The repository has no measured break-even tool count.

find_tools ranking uses the Jev classifier when JEV_PROVIDER is set (e.g. opencode with OPENCODE_API_KEY in the process environment); otherwise a local ranker applies. Keys stay in the environment and are never written to config files.

Per-call permissions

Each outer invocation must opt in to side effects. Write tools require allowWrites: true; Spend tools require allowSpend: true; Read tools require neither. Omitted or false permission is denied before the target tool validates its input or performs I/O.

Invocation path Where permission goes
Direct MCP tools/call In the tool arguments, beside its normal input fields.
call_tool On the call_tool arguments, beside name and input, not inside input.
execute On the execute arguments, beside code; the flag binds that class of tools into this sandbox only.

Each execute call gets a fresh JavaScript sandbox. Its JavaScript has no direct filesystem, network, module-loading, process, or environment access; external operations are available only through bound mcptools functions. The defaults are a 30-second timeout, 64 MiB memory cap, and 256 KiB combined log/result cap. Configure them with --execute-timeout-secs, --execute-memory-mb, and --execute-output-kb, or their MCPTOOLS_EXECUTE_* environment variables.

Host wiring

mcptools agent setup supports plain and code mode. Plain is the default; add --mode code to wire mcp stdio --code-mode. Discovery mode must be set directly in the host command or environment.

Host Setup command MCP registration Installed skill
Claude mcptools agent setup --target claude Merges the mcptools entry into ~/.claude.json. ~/.claude/skills/mcptools/SKILL.md
Codex mcptools agent setup --target codex Runs codex mcp add mcptools .... ~/.codex/skills/mcptools/SKILL.md
OpenCode mcptools agent setup --target opencode Merges the mcptools entry into ~/.config/opencode/opencode.json. ~/.config/opencode/skills/mcptools/SKILL.md

Use --target all to configure all three supported hosts. With --mode code, setup also writes JEV_PROVIDER=opencode for each client.

To register the server manually instead, add it with the Claude Code CLI:

claude mcp add mcptools -- mcptools mcp stdio

For Claude Desktop, add it to the config file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "mcptools": {
      "command": "mcptools",
      "args": ["mcp", "stdio"]
    }
  }
}

Append --discovery or --code-mode to the args to select another mode. See the MCP server reference for complete configuration, discovery, ranking, sandbox result, and nested execution details.

Plan canvas

The plan canvas is a self-hosted tldraw page backed by local plan files. An agent writes nodes and edges; a person opens the secret URL, edits the canvas, and presses Save. With RALPH_INBOX set when the plan is written, the agent receives the saved diff and PNG path in its inbox. Each successful save closes the link until plan_url reopens it.

MCP tool Input Result and effect
plan_write {id, nodes: [{id, text}], edges: [{from, to}], share_seconds?} {url, rev}; creates or replaces the plan, preserves existing node positions and token, increments revision, opens a share window. Requires allowWrites: true.
plan_url {id, share_seconds?} {url} for an existing plan; opens or extends its share window.
plan_close {id} {closed: true}; closes the share window without changing the token. Requires allowWrites: true.
plan_diff {id} {diff} since the stored baseline, then replaces that baseline. Requires allowWrites: true, including direct calls, call_tool, and execute. A missing baseline starts at the current snapshot and returns an empty diff.
plan_png {id} {path} to the existing latest.png, an absolute local path; does not render an image. Fails before a PNG has been saved.

Server and phone flow

plan_write and plan_url start the daemon on demand using Tailscale. A failed start returns the URL with a warning. Set MCPTOOLS_DIAGRAM_PORT to change the default port 5199. The daemon checks every MCPTOOLS_DIAGRAM_IDLE_CHECK_SECONDS (default 60) and exits after MCPTOOLS_DIAGRAM_IDLE_GRACE_SECONDS (default 120) when no shares remain. Its log is in diagrams/daemon.log under the user data directory.

No boot-time systemd or launchd service is required. The daemon and MCP process must use the same data directory. See daemon configuration and troubleshooting, including legacy service removal.

  1. Install mcptools and Tailscale.
  2. Call plan_write to create a plan. Optionally call plan_diff to establish a baseline; without one, the first save compares against the stored plan. Use plan_url to retrieve the URL again.
  3. Connect the phone to the same tailnet and open the returned IP-based URL. Edit, then press Save; there is no autosave. A revision conflict requires reload and discards unsaved edits.
  4. Read the inbox Report for the saved diff and PNG path. plan_write captures the writer's absolute RALPH_INBOX in separate notify.json; the daemon publishes a complete Report through a hidden temp file and rename. Each successful save advances the baseline, so a following plan_diff is empty. Use plan_png for the saved image. Reopen with plan_url before another save; unchanged saves also notify. Without a notify target, saves still succeed, advance the baseline, close the link, and log no notify target. Rejected saves never notify.

URL host and port resolve independently: MCPTOOLS_DIAGRAM_HOST and MCPTOOLS_DIAGRAM_PORT, then the daemon's recorded address in diagrams/.daemon-address!, then 127.0.0.1:5199. The record can be stale; the endpoint is checked before use. Use one daemon and avoid concurrent external plan writes.

Security model

Keep the canvas tailnet-only; no Cloudflare exposure. Recommended operator step: set a Tailscale ACL to allow port 5199 only from the user's devices.

  • The daemon requires --tailscale or an explicit IP via --host. Explicit hosts are not restricted to Tailscale or loopback. Wildcard addresses, including IPv4-mapped IPv6 wildcards, are refused. Limit access with the selected network interface and Tailscale access controls when using a tailnet.
  • Every request requires exactly one Host header matching the bound IP and port. DNS aliases do not pass. The server adds no CORS headers; this is not authentication and does not stop a non-browser client with the token.
  • Token URLs contain 128 random bits (32 lowercase hexadecimal characters). Tokens survive updates, but a separate share window gates access. plan_write and plan_url open or extend it to now plus 1800 seconds by default. Optional share_seconds overrides MCPTOOLS_DIAGRAM_SHARE_SECONDS; both are clamped to 60–86400 seconds. A successful save closes the share until plan_url reopens it. plan_close revokes access at turn end. Missing, malformed, closed, or expired windows return 404 on page, snapshot, and save routes without refreshing last-access. Existing plans need a fresh share. Any holder with network access during the window can read and save; there is no separate save authorization. Saves still require the current revision and a valid body. Treat the URL as a secret, not a read-only share link.
  • The daemon sweeps eligible stored plans at startup and hourly. Default retention TTL is 30 days, overridden by MCPTOOLS_DIAGRAM_TTL_SECONDS. Age uses the newest modification time of the plan directory, snapshot, metadata, and last-access marker. Page and snapshot GETs, plan_url, and plan_png refresh that marker; access-marker errors are logged without failing the read. An open share or idle browser tab is not a retention exemption; only actual access refreshes activity. Retention removes the plan, not just its token. Close the share with plan_close at turn end; automatic Ralph turn-end integration is separate work (GUZ-1140).
  • Canvas content is untrusted input that flows back to agents, including text in plan_diff and saved images. It can carry prompt injection. Treat canvas instructions as data, not authority to run tools or change permissions.

The canvas page, fonts, icons, translations, and plan storage are self-hosted. The tldraw SDK retains an external license-tracking request to cdn.tldraw.com when applicable; see the license note. Details: plan tools, daemon and saves, and page build.

Available Tools

Atlassian Tools

Environment Variables: Each service supports its own credentials that override the shared ATLASSIAN_* variables:

  • Jira: JIRA_BASE_URL, JIRA_EMAIL, JIRA_API_TOKEN (fallback: ATLASSIAN_*)
  • Confluence: CONFLUENCE_BASE_URL, CONFLUENCE_EMAIL, CONFLUENCE_API_TOKEN (fallback: ATLASSIAN_*)
  • Bitbucket: BITBUCKET_USERNAME, BITBUCKET_APP_PASSWORD

For detailed setup instructions, see docs/ATLASSIAN_SETUP.md. For a quick start guide, see docs/ATLASSIAN_QUICK_START.md.

jira_search

Search Jira issues using JQL (Jira Query Language).

Parameters:

  • query (string) - JQL query to search issues (e.g., project = PROJ AND status = Open)
  • queryName (string) - Name of a saved query to execute instead of providing raw JQL
  • limit (number, optional) - Maximum results to return (default: 10, max: 100)
  • nextPageToken (string, optional) - Pagination token for fetching the next page

Example:

{
  "method": "tools/call",
  "params": {
    "name": "jira_search",
    "arguments": {
      "query": "assignee = currentUser() AND status NOT IN (Done, Closed)",
      "limit": 20
    }
  }
}

jira_get

Get detailed information about a specific Jira ticket.

Parameters:

  • issueKey (string, required) - Jira issue key (e.g., PROJ-123)

Example:

{
  "method": "tools/call",
  "params": {
    "name": "jira_get",
    "arguments": {
      "issueKey": "PROJ-123"
    }
  }
}

jira_create

Create a new Jira ticket.

Parameters:

  • summary (string, required) - Title/summary of the ticket
  • description (string, optional) - Description of the ticket
  • project (string, optional) - Project key (default: PROD)
  • issueType (string, optional) - Issue type (e.g., Bug, Story, Task)
  • priority (string, optional) - Priority (e.g., High, Medium, Low)
  • assignee (string, optional) - Assignee (email, display name, or "me")

Example:

{
  "method": "tools/call",
  "params": {
    "name": "jira_create",
    "arguments": {
      "allowWrites": true,
      "summary": "Fix login bug",
      "description": "Users cannot log in with SSO",
      "issueType": "Bug",
      "priority": "High"
    }
  }
}

jira_update

Update fields on an existing Jira ticket.

Parameters:

  • ticketKey (string, required) - Ticket key (e.g., PROJ-123)
  • status (string, optional) - New status (e.g., "In Progress", "Done")
  • priority (string, optional) - New priority
  • issueType (string, optional) - New issue type
  • assignee (string, optional) - New assignee (email, display name, or "me")

Example:

{
  "method": "tools/call",
  "params": {
    "name": "jira_update",
    "arguments": {
      "allowWrites": true,
      "ticketKey": "PROJ-123",
      "status": "In Progress",
      "assignee": "me"
    }
  }
}

jira_query_list

List all saved Jira queries.

Parameters: None

Example:

{
  "method": "tools/call",
  "params": {
    "name": "jira_query_list",
    "arguments": {}
  }
}

jira_query_save

Save a Jira JQL query with a name for later reuse.

Parameters:

  • name (string, required) - Name for the saved query (alphanumeric, hyphens, underscores only)
  • query (string, required) - JQL query to save
  • update (boolean, optional) - If true, overwrites an existing query with the same name (default: false)

Example:

{
  "method": "tools/call",
  "params": {
    "name": "jira_query_save",
    "arguments": {
      "allowWrites": true,
      "name": "my-open-bugs",
      "query": "project = PROJ AND type = Bug AND status != Done"
    }
  }
}

jira_query_delete

Delete a saved Jira query by name.

Parameters:

  • name (string, required) - Name of the saved query to delete

jira_query_load

Load and display the contents of a saved Jira query.

Parameters:

  • name (string, required) - Name of the saved query to load

confluence_search

Search Confluence pages using CQL (Confluence Query Language).

Parameters:

  • query (string, required) - CQL query to search pages
  • limit (number, optional) - Maximum results to return (default: 10)

Example:

{
  "method": "tools/call",
  "params": {
    "name": "confluence_search",
    "arguments": {
      "query": "space = WIKI AND text ~ 'deployment'",
      "limit": 10
    }
  }
}

confluence_page_get

Read one Confluence page by numeric ID or by a URL containing its page ID. Returns the title, space ID, version, Markdown body, and web URL.

Parameters:

  • idOrUrl (string, required) - Numeric page ID or Confluence page URL

Example:

{
  "method": "tools/call",
  "params": {
    "name": "confluence_page_get",
    "arguments": {
      "idOrUrl": "https://example.atlassian.net/wiki/spaces/ENG/pages/123456/Runbook"
    }
  }
}

confluence_page_create

Create a published Confluence page from storage-format XHTML. The optional parent accepts a numeric page ID or page URL. Requires allowWrites.

Parameters:

  • spaceId (string, required) - Numeric Confluence space ID
  • title (string, required) - Page title
  • body (string, required) - Confluence storage-format XHTML
  • parentIdOrUrl (string, optional) - Parent page ID or URL

confluence_page_update

Update a page title, storage-format XHTML body, or both. The tool reads the current page, preserves omitted content, and increments the version. Requires allowWrites.

Parameters:

  • idOrUrl (string, required) - Numeric page ID or Confluence page URL
  • title (string, optional) - Replacement title
  • body (string, optional) - Replacement Confluence storage-format XHTML

bitbucket_pr_list

List pull requests for a Bitbucket repository.

Parameters:

  • repo (string, required) - Repository in workspace/repo_slug format
  • state (array, optional) - Filter by PR state(s): OPEN, MERGED, DECLINED, SUPERSEDED
  • limit (number, optional) - Max results per page (default: 10)
  • nextPage (string, optional) - Pagination URL for fetching the next page

Example:

{
  "method": "tools/call",
  "params": {
    "name": "bitbucket_pr_list",
    "arguments": {
      "repo": "myworkspace/myrepo",
      "state": ["OPEN"],
      "limit": 20
    }
  }
}

bitbucket_pr_read

Read details of a specific Bitbucket pull request including diff, diffstat, and comments.

Parameters:

  • repo (string, required) - Repository in workspace/repo_slug format
  • prNumber (number, required) - Pull request number
  • limit (number, optional) - Max comments per page (default: 100)
  • diffLimit (number, optional) - Max diffstat entries per page (default: 500)
  • lineLimit (number, optional) - Truncate diff to N lines (default: 500, use -1 for unlimited)
  • noDiff (boolean, optional) - Skip fetching diff content (default: false)

Example:

{
  "method": "tools/call",
  "params": {
    "name": "bitbucket_pr_read",
    "arguments": {
      "repo": "myworkspace/myrepo",
      "prNumber": 123,
      "lineLimit": 200
    }
  }
}

Note: The lineLimit parameter defaults to 500 lines to prevent overwhelming responses. Use lineLimit: -1 for the complete diff.

HackerNews Tools

Both tools require page and limit greater than zero. Zero values return invalid params (-32602) before any API request.

hn_read_item

Read HackerNews posts and comments with pagination support.

Parameters:

  • item (string, required) - HackerNews item ID (e.g., "8863") or full URL (e.g., "https://news.ycombinator.com/item?id=8863")
  • limit (number, optional) - Number of comments per page (default: 10)
  • page (number, optional) - Page number, 1-indexed (default: 1)
  • thread (string, optional) - Not supported in MCP data mode; use CLI --thread instead

Example Usage:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "hn_read_item",
    "arguments": {
      "item": "8863",
      "limit": 5,
      "page": 1
    }
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "content": [
      {
        "type": "text",
        "text": "{\"id\":8863,\"title\":\"My YC app: Dropbox...\",\"comments\":[...],\"pagination\":{...}}"
      }
    ]
  }
}

hn_list_items

List HackerNews stories with pagination support.

Parameters:

  • story_type (string, optional) - Type of stories: "top", "new", "best", "ask", "show", "job" (default: "top")
  • limit (number, optional) - Number of stories per page (default: 30)
  • page (number, optional) - Page number, 1-indexed (default: 1)

Example Usage:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "hn_list_items",
    "arguments": {
      "story_type": "top",
      "limit": 10,
      "page": 1
    }
  }
}

Web Scraping Tools

md_render

Render Markdown to a self-contained HTML file with inline CSS and vendored Mermaid 11.12.0 (2,748,992 bytes). Supports CommonMark, tables, task lists, strikethrough, footnotes, heading anchors, and fenced code. Raw HTML is escaped; Mermaid uses strict security. Network resources, including remote images, are blocked. Invalid diagrams show an in-place error without breaking the page.

Input: {markdown, path?, title?, allowWrites: true}. Output: {path, url}. This Write tool replaces the output atomically. Default: <mcptools data dir>/renders/<slug>-<hash>.html. Chrome is not needed to render the file.

mcptools md render report.md -o report.html --title "Report" --open
cat report.md | mcptools md render - --json

See Web Scraping context for asset provenance, security policy, and offline browser verification.

md_fetch

Fetch web pages using headless Chrome and convert to Markdown. Supports CSS selector filtering to extract specific page elements, character-based pagination, and section extraction using offsets from md_toc.

Requires current stable Chrome/Chromium (156+; the stable milestone pinned when this policy was introduced). Versions are checked before launch; older versions fail with upgrade instructions. CHROME=/path/to/chrome selects a binary. Only new headless mode is used. One browser is reused across process-local fetch/TOC calls and replaced if it dies; request tabs close on success or failure. Queue wait and version detection share the fetch deadline with startup, navigation, and conversion.

Both md_fetch and md_toc verify TLS certificates. Invalid or untrusted certificates are not bypassed; there is no insecure mode.

Parameters:

  • url (string, required) - URL of the web page to fetch
  • timeout (number, optional) - Timeout in seconds (default: 30)
  • raw_html (boolean, optional) - Return raw HTML instead of Markdown (default: false)
  • selector (string, optional) - CSS selector to filter content (e.g., "article", "main", "div.content")
  • strategy (string, optional) - Selection strategy when multiple elements match: "first", "last", "all", "n" (default: "first")
  • index (number, optional) - Index for "n" strategy (0-indexed)
  • offset (number, optional) - Character offset to start from (default: 0). A positive value takes precedence over page. Use with values from md_toc to extract specific sections
  • limit (number, optional) - Characters per page for pagination, must be greater than 0 (default: 1000)
  • page (number, optional) - Page number, must be greater than 0 (default: 1). A positive offset takes precedence, but page must still be valid

CLI and MCP reject zero limit or page before launching Chrome. Pages beyond the last page clamp to the last page; offsets beyond the content return empty content.

Example Usage:

// Basic fetch with default pagination
{
  "jsonrpc": "2.0",
  "id": 3,
  "method": "tools/call",
  "params": {
    "name": "md_fetch",
    "arguments": {
      "url": "https://docs.example.com/guide"
    }
  }
}

// Extract main content only
{
  "jsonrpc": "2.0",
  "id": 4,
  "method": "tools/call",
  "params": {
    "name": "md_fetch",
    "arguments": {
      "url": "https://example.com",
      "selector": "main"
    }
  }
}

// Get all article elements with custom pagination
{
  "jsonrpc": "2.0",
  "id": 5,
  "method": "tools/call",
  "params": {
    "name": "md_fetch",
    "arguments": {
      "url": "https://blog.example.com",
      "selector": "article",
      "strategy": "all",
      "limit": 500,
      "page": 2
    }
  }
}

Response includes pagination metadata:

{
  "url": "https://example.com",
  "title": "Page Title",
  "content": "...(paginated markdown content)...",
  "pagination": {
    "current_page": 1,
    "total_pages": 23,
    "total_characters": 22161,
    "limit": 1000,
    "has_more": true
  }
}

md_toc

Extract table of contents from web pages by parsing ATX headings (H1-H6) and Setext headings (H1-H2), skipping backtick and tilde fenced code blocks. Returns character offsets and limits for each section, enabling precise section extraction with md_fetch. Sections are defined as: heading + all content until the next same-or-higher-level heading.

Setext titles use only the nonblank text line immediately before the underline, with surrounding whitespace removed; their offsets point to the first title character. This line-based extractor does not implement full CommonMark parsing.

Parameters:

  • url (string, required) - URL of the web page to fetch
  • timeout (number, optional) - Timeout in seconds (default: 30)
  • selector (string, optional) - CSS selector to filter content (e.g., "article", "main")
  • strategy (string, optional) - Selection strategy when multiple elements match: "first", "last", "all", "n" (default: "first")
  • index (number, optional) - Index for "n" strategy (0-indexed)
  • output (string, optional) - Text content format: "indented", "markdown", "json". Omitted or "json" returns JSON text; explicit "indented" or "markdown" returns formatted headings with offsets and limits. structuredContent always retains the full TOC object. CLI md toc defaults to indented text

Example Usage:

// Get table of contents with section offsets
{
  "jsonrpc": "2.0",
  "id": 6,
  "method": "tools/call",
  "params": {
    "name": "md_toc",
    "arguments": {
      "url": "https://docs.example.com/guide"
    }
  }
}

Response:

{
  "url": "https://docs.example.com/guide",
  "title": "User Guide",
  "entries": [
    {
      "level": 2,
      "text": "Getting Started",
      "char_offset": 0,
      "char_limit": 1234
    },
    {
      "level": 3,
      "text": "Installation",
      "char_offset": 156,
      "char_limit": 580
    },
    {
      "level": 2,
      "text": "Advanced Usage",
      "char_offset": 1234,
      "char_limit": 2000
    }
  ],
  "fetch_time_ms": 1523
}

Workflow: Extract Specific Sections

// Step 1: Get TOC to find sections
{
  "method": "tools/call",
  "params": {
    "name": "md_toc",
    "arguments": {"url": "https://docs.example.com"}
  }
}

// Step 2: Use char_offset and char_limit to fetch specific section
{
  "method": "tools/call",
  "params": {
    "name": "md_fetch",
    "arguments": {
      "url": "https://docs.example.com",
      "offset": 156,
      "limit": 580
    }
  }
}
// Returns only the "Installation" section

UI Annotation Tools

Environment Variable: CALENDSYNC_DEV_URL — Base URL of the calendsync dev server (default: http://localhost:3000)

ui_annotations_list

List all UI annotations from the calendsync dev server. Returns selector, component name, note, and resolution status for each annotation.

Parameters:

  • url (string, optional) — Dev server URL (overrides CALENDSYNC_DEV_URL)

Example:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "ui_annotations_list",
    "arguments": {}
  }
}

ui_annotations_get

Get a single UI annotation by ID with full details including computed styles, bounding box, and optional screenshot.

Parameters:

  • id (string, required) — Annotation ID
  • url (string, optional) — Dev server URL (overrides CALENDSYNC_DEV_URL)

Example:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "ui_annotations_get",
    "arguments": {
      "id": "abc-123"
    }
  }
}

ui_annotations_resolve

Mark a UI annotation as resolved with a summary of the changes made.

Parameters:

  • id (string, required) — Annotation ID
  • summary (string, required) — Description of what was fixed
  • url (string, optional) — Dev server URL (overrides CALENDSYNC_DEV_URL)

Example:

{
  "jsonrpc": "2.0",
  "id": 3,
  "method": "tools/call",
  "params": {
    "name": "ui_annotations_resolve",
    "arguments": {
      "allowWrites": true,
      "id": "abc-123",
      "summary": "Increased font size to 24px for mobile"
    }
  }
}

ui_annotations_clear

Clear all UI annotations from the dev server.

Parameters:

  • url (string, optional) — Dev server URL (overrides CALENDSYNC_DEV_URL)

Example:

{
  "jsonrpc": "2.0",
  "id": 4,
  "method": "tools/call",
  "params": {
    "name": "ui_annotations_clear",
    "arguments": {
      "allowWrites": true
    }
  }
}

PDF Tools

pdf_toc

Parse a PDF document and return its table of contents as a navigable tree with section IDs, headings, content previews, image counts, and page ranges.

Parameters:

  • path (string, required) - Absolute path to the PDF file

Example:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "pdf_toc",
    "arguments": {
      "path": "/absolute/path/to/document.pdf"
    }
  }
}

pdf_read

Read section content as rendered Markdown with image references. Omit sectionId to read the entire document.

Parameters:

  • path (string, required) - Absolute path to the PDF file
  • sectionId (string, optional) - Section ID from pdf_toc (e.g., s-1-0). Omit for whole document.

Example:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "pdf_read",
    "arguments": {
      "path": "/absolute/path/to/document.pdf",
      "sectionId": "s-1-0"
    }
  }
}

pdf_peek

Sample a text snippet from a section without reading the full content. Returns the snippet, position, and total character count.

Parameters:

  • path (string, required) - Absolute path to the PDF file
  • sectionId (string, optional) - Section ID from pdf_toc. Omit for whole document.
  • position (string, optional) - Where to sample: "beginning" (default), "middle", "ending", "random"
  • limit (number, optional) - Maximum characters to return (default: 500)

Example:

{
  "jsonrpc": "2.0",
  "id": 3,
  "method": "tools/call",
  "params": {
    "name": "pdf_peek",
    "arguments": {
      "path": "/absolute/path/to/document.pdf",
      "sectionId": "s-1-0",
      "position": "middle",
      "limit": 300
    }
  }
}

pdf_images

List images in a section or the entire document. Returns image IDs, formats, and alt text.

Parameters:

  • path (string, required) - Absolute path to the PDF file
  • sectionId (string, optional) - Section ID from pdf_toc. Omit for all images.

Example:

{
  "jsonrpc": "2.0",
  "id": 4,
  "method": "tools/call",
  "params": {
    "name": "pdf_images",
    "arguments": {
      "path": "/absolute/path/to/document.pdf",
      "sectionId": "s-1-0"
    }
  }
}

pdf_image

Extract a specific image by ID or pick a random one. Returns base64-encoded image data with format and size.

Parameters:

  • path (string, required) - Absolute path to the PDF file
  • imageId (string, optional) - Image ID (XObject name). Required unless random is true.
  • sectionId (string, optional) - Section ID to scope image selection (used with random)
  • random (boolean, optional) - Pick a random image. Cannot be used with imageId.

Example:

{
  "jsonrpc": "2.0",
  "id": 5,
  "method": "tools/call",
  "params": {
    "name": "pdf_image",
    "arguments": {
      "path": "/absolute/path/to/document.pdf",
      "imageId": "Im1"
    }
  }
}

pdf_info

Get document metadata including title, author, page count, and creator.

Parameters:

  • path (string, required) - Absolute path to the PDF file

Example:

{
  "jsonrpc": "2.0",
  "id": 6,
  "method": "tools/call",
  "params": {
    "name": "pdf_info",
    "arguments": {
      "path": "/absolute/path/to/document.pdf"
    }
  }
}

Images Tools

Generate, edit, and vary images with the GPT Image models (gpt-image-2.6-flare default; gpt-image-2.6-sunburst, gpt-image-2.5-flare, and gpt-image-2.5-sunburst also supported). Defaults to the ChatGPT subscription (llm-stream auth.json); pass api: "openai" with OPENAI_API_KEY for the metered API.

images_generate

Generate images from a text prompt. Saves files and returns paths plus metadata.

Parameters:

  • prompt (string, required) - Text description of the image
  • model (string, optional) - Image model (default: gpt-image-2.6-flare)
  • size (string, optional) - auto, 1024x1024, 1536x1024, 1024x1536, or custom WIDTHxHEIGHT
  • quality (string, optional) - auto, low, medium, high, xhigh, max
  • outputFormat (string, optional) - png, jpeg, webp (default: png)
  • outputCompression (integer, optional) - 0-100 for jpeg/webp
  • background (string, optional) - auto, transparent, opaque
  • moderation (string, optional) - auto or low
  • n (integer, optional) - 1-10 images (default: 1; subscription always returns 1)
  • outputDir (string, optional) - Directory for output files (default: .)

Example:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "images_generate",
    "arguments": {
      "allowSpend": true,
      "prompt": "a fox reading a newspaper, watercolor",
      "quality": "low"
    }
  }
}

images_edit

Edit 1-16 reference image files with a prompt and optional mask. Saves generated files and returns their paths.

Parameters:

  • prompt (string, required) - Edit instruction
  • images (array of strings, required) - Input image file paths (1-16)
  • mask (string, optional) - Mask PNG path (alpha channel marks edit area)
  • Same output options as images_generate, plus inputFidelity (string, optional) - high or low

images_vary

Create variations anchored to 1-16 reference images. Same as images_edit with an optional prompt (defaults to preserving subject and style).

Parameters:

  • images (array of strings, required) - Input image file paths (1-16)
  • prompt (string, optional) - Variation instruction
  • Same output options as images_edit

MCP Protocol Implementation

This server implements the Model Context Protocol specification with the following methods:

initialize

Establishes connection and returns server capabilities.

Request:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "initialize",
  "params": {}
}

Response:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "protocolVersion": "2024-11-05",
    "capabilities": {
      "tools": {}
    },
    "serverInfo": {
      "name": "mcptools",
      "version": "0.0.0"
    }
  }
}

tools/list

Returns list of available tools.

Request:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/list",
  "params": {}
}

Response:

{
  "jsonrpc": "2.0",
  "id": 2,
  "result": {
    "tools": [
      {
        "name": "hn_read_item",
        "description": "Read a HackerNews post and its comments...",
        "inputSchema": {
          "type": "object",
          "properties": {
            "item": {
              "type": "string",
              "description": "HackerNews item ID or URL"
            },
            "limit": {
              "type": "number",
              "description": "Number of comments per page (default: 10)"
            },
            "page": {
              "type": "number",
              "description": "Page number, 1-indexed (default: 1)"
            },
            "thread": {
              "type": "string",
              "description": "Comment thread ID to read (optional)"
            }
          },
          "required": ["item"]
        }
      }
    ]
  }
}

tools/call

Executes a specific tool. Direct Write calls require allowWrites: true in arguments; direct Spend calls require allowSpend: true. The server strips these permission fields before tool input validation. Read calls need neither field.

Request:

{
  "jsonrpc": "2.0",
  "id": 3,
  "method": "tools/call",
  "params": {
    "name": "hn_read_item",
    "arguments": {
      "item": "8863",
      "limit": 2
    }
  }
}

Response:

{
  "jsonrpc": "2.0",
  "id": 3,
  "result": {
    "content": [
      {
        "type": "text",
        "text": "{\"id\":8863,\"title\":\"My YC app: Dropbox - Throw away your USB drive\",\"url\":\"http://www.getdropbox.com/u/2/screencast.html\",\"author\":\"dhouston\",\"score\":104,\"time\":\"2007-04-04 19:16:40 UTC\",\"text\":null,\"total_comments\":71,\"comments\":[{\"id\":9224,\"author\":\"BrandonM\",\"time\":\"2007-04-05 15:16:54 UTC\",\"text\":\"I have a few qualms with this app...\",\"replies_count\":1},{\"id\":8917,\"author\":\"brett\",\"time\":\"2007-04-04 21:48:13 UTC\",\"text\":\"This is genius...\",\"replies_count\":0}],\"pagination\":{\"current_page\":1,\"total_pages\":17,\"total_comments\":33,\"limit\":2,\"next_page_command\":\"mcptools hn read 8863 --page 2\",\"prev_page_command\":null}}"
      }
    ]
  }
}

Testing with curl (SSE mode)

Start the server:

mcptools mcp sse --port 3000

Test the endpoints:

# Initialize
curl -X POST http://127.0.0.1:3000/message \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'

# List tools
curl -X POST http://127.0.0.1:3000/message \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

# Call hn_read_item tool
curl -X POST http://127.0.0.1:3000/message \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"hn_read_item","arguments":{"item":"8863","limit":2}}}'

CLI Usage (Non-MCP)

You can also use the tools directly via CLI without running an MCP server.

Atlassian

Jira

# Search for issues assigned to you
mcptools atlassian jira search "assignee = currentUser() AND status NOT IN (Done, Closed)"

# Search with limit
mcptools atlassian jira search "project = PROJ AND status = Open" --limit 20

# Get ticket details
mcptools atlassian jira get PROJ-123

# Create a new ticket
mcptools atlassian jira create --summary "Fix bug" --description "Details..." --issue-type Bug

# Update a ticket
mcptools atlassian jira update PROJ-123 --status "In Progress" --assignee me

# List available transitions
mcptools atlassian jira transitions list PROJ-123

# PROJ-123 blocks PROJ-456
mcptools atlassian jira link add PROJ-123 --type Blocks PROJ-456

# List links and configured link types
mcptools atlassian jira link list PROJ-123
mcptools atlassian jira link types

# Output as JSON
mcptools atlassian jira search "project = PROJ" --json

# Save a query
mcptools atlassian jira search 'project = "PM" AND status = Open' --save --query devops

# Execute a saved query
mcptools atlassian jira search --query devops

# List all saved queries
mcptools atlassian jira search --list

# View query contents
mcptools atlassian jira search --load --query devops

# Update existing query
mcptools atlassian jira search 'project = "PM"' --save --query devops --update

# Delete a query
mcptools atlassian jira search --delete --query devops

Confluence

# Search for pages
mcptools atlassian confluence search "text ~ 'deployment'"

# Search in a specific space
mcptools atlassian confluence search "space = WIKI AND text ~ 'api'" --limit 10

# Output as JSON
mcptools atlassian confluence search "text ~ 'guide'" --json

# Read one page by ID or URL; read is an alias for get
mcptools atlassian confluence get 123456
mcptools atlassian confluence read 'https://example.atlassian.net/wiki/spaces/ENG/pages/123456/Runbook' --json

# Create and update published pages with Confluence storage-format XHTML
mcptools atlassian confluence create --space-id 9988 --title 'Runbook' --body '<p>Deploy</p>' --parent 123456 --json
mcptools atlassian confluence update 123456 --title 'Deployment Runbook' --body '<p>Deploy and verify</p>' --json

Bitbucket Pull Requests

# List open PRs in a repository
mcptools atlassian bitbucket pr list --repo "myworkspace/myrepo"

# Filter by state
mcptools atlassian bitbucket pr list --repo "myworkspace/myrepo" --state OPEN --state MERGED

# Read PR details with diff
mcptools atlassian bitbucket pr read --repo "myworkspace/myrepo" 123

# Skip diff content
mcptools atlassian bitbucket pr read --repo "myworkspace/myrepo" 123 --no-diff

# Limit diff output to 200 lines
mcptools atlassian bitbucket pr read --repo "myworkspace/myrepo" 123 --line-limit 200

# Only show diff (skip details and comments)
mcptools atlassian bitbucket pr read --repo "myworkspace/myrepo" 123 --diff-only

HackerNews (hn)

--page and --limit must be greater than zero. Invalid values return an error before any API request.

# Read a post with default settings (10 comments)
mcptools hn read 8863

# Read with custom limit
mcptools hn read 8863 --limit 5

# Navigate to specific page
mcptools hn read 8863 --page 2

# Read specific comment thread
mcptools hn read 8863 --thread 9224

# Output as JSON
mcptools hn read 8863 --json

# Use full URL instead of ID
mcptools hn read "https://news.ycombinator.com/item?id=8863"

# List stories
mcptools hn list top --limit 20

Web Scraping (md)

md fetch - Fetch and convert web pages

# Basic fetch (converts to Markdown)
mcptools md fetch https://example.com

# With CSS selector to extract specific content
mcptools md fetch https://docs.example.com --selector "main"
mcptools md fetch https://example.com --selector "article.post"

# With pagination (1000 characters per page by default)
mcptools md fetch https://example.com --page 2
mcptools md fetch https://example.com --limit 500 --page 1

# Extract specific section using offset (from md toc)
mcptools md fetch https://docs.example.com --offset 1234 --limit 580

# Selection strategies for multiple matches
mcptools md fetch https://example.com --selector "article" --strategy all
mcptools md fetch https://example.com --selector "article" --strategy last
mcptools md fetch https://example.com --selector "p" --strategy n --index 2

# Get raw HTML instead of Markdown
mcptools md fetch https://example.com --raw-html

# Output as JSON
mcptools md fetch https://example.com --selector "main" --json

# Combine features
mcptools md fetch https://docs.example.com --selector "main" --limit 1000 --page 1 --json

md toc - Extract table of contents

# Get TOC with default indented format (shows offset/limit for each section)
mcptools md toc https://docs.example.com

# Get TOC as markdown list
mcptools md toc https://example.com --output markdown

# Get TOC as JSON (includes char_offset and char_limit)
mcptools md toc https://example.com --json

# Extract TOC from specific page section
mcptools md toc https://docs.example.com --selector "main"
mcptools md toc https://example.com --selector "article" --strategy first

# Complete workflow: Get TOC, then fetch specific section
mcptools md toc https://docs.example.com --json > toc.json
# Use char_offset and char_limit from toc.json
mcptools md fetch https://docs.example.com --offset 1234 --limit 580

PDF

# Get document table of contents
mcptools pdf toc document.pdf

# Read a specific section
mcptools pdf read document.pdf s-1-0

# Read the whole document
mcptools pdf read document.pdf

# Peek at a section (quick preview)
mcptools pdf peek document.pdf s-1-0

# Peek at middle of document with custom limit
mcptools pdf peek document.pdf --position middle --limit 300

# List all images in the document
mcptools pdf images document.pdf

# List images in a specific section
mcptools pdf images document.pdf s-1-0

# Extract an image by ID
mcptools pdf image document.pdf Im1 --output photo.jpg

# Pick a random image
mcptools pdf image document.pdf --random

# Random image from a specific section
mcptools pdf image document.pdf --random --section s-1-0

# Get document metadata
mcptools pdf info document.pdf

Images

# Generate with subscription (first sign in once: llm-stream --login)
mcptools images generate "a fox reading a newspaper, watercolor" --quality low -o /tmp/fox.png --open

# Edit a reference image
mcptools images edit "make the fox wear glasses" --image /tmp/fox.png -o /tmp/fox-glasses.png

# Variation anchored to a reference image
mcptools images vary --image /tmp/fox.png --prompt "same fox, cyberpunk style" -o /tmp/fox-cyber.png

# Metered API path with multiple images
mcptools images generate "a lighthouse" --api openai --model gpt-image-2.5-sunburst -n 2 --output-dir /tmp

Environment Variables:

Variable Default Description
MCPTOOLS_IMAGES_API chatgpt Backend: chatgpt (subscription) or openai (API key)
LLM_STREAM_CONFIG_DIR ~/.config/llm-stream Config dir holding subscription auth.json
MCPTOOLS_IMAGES_MAINLINE gpt-5.6-sol Chat model fronting the image tool (subscription)
OPENAI_IMAGES_MODEL gpt-image-2.6-flare Image model
OPENAI_API_KEY — Key for --api openai
OPENAI_BASE_URL https://api.openai.com/v1 Base URL for --api openai

Best Practices for Web Fetching with Claude Code

When using md_toc and md_fetch with Claude Code or other LLM coding agents, follow this workflow to efficiently extract web content:

Two-Step Fetching Workflow

Step 1: Understand page structure with md_toc

Always start by fetching the table of contents to understand the page layout and identify which sections contain the information you need:

mcptools md toc https://docs.example.com

This returns a hierarchical list of sections with character offsets and limits, allowing you to precisely target content.

Step 2: Fetch targeted content with md_fetch

After analyzing the TOC, use character offsets to extract specific sections:

# Fetch a specific section using offset and limit from md_toc
mcptools md fetch https://docs.example.com --offset 1234 --limit 580

Or use CSS selectors to filter content:

# Extract main content only
mcptools md fetch https://docs.example.com --selector "main"

Best Practices

  1. Always use md_toc first - This helps you understand page structure before fetching, reducing unnecessary content extraction
  2. Use CSS selectors - Narrow down to specific page sections (e.g., main, article, div.content) to avoid noise from sidebars and navigation
  3. Leverage pagination - For large pages, use the limit and page parameters or character offsets to fetch content in manageable chunks
  4. Site-specific selectors:
    • LocalStack Documentation (https://docs.localstack.cloud/*): Use selector: "main" to get main content
  5. Combine tools efficiently - Use md_toc to get metadata, then md_fetch with precise offsets for targeted extraction

Example Workflow

# Step 1: Get page structure
mcptools md toc https://docs.example.com --json

# Step 2: Use the returned metadata to fetch specific sections
# If the JSON shows an "Installation" section with char_offset: 156, char_limit: 580
mcptools md fetch https://docs.example.com --offset 156 --limit 580

# Alternative: Use CSS selectors for simpler cases
mcptools md fetch https://docs.example.com --selector "main" --limit 1000

This approach ensures Claude Code gets focused, relevant content without unnecessary overhead.

Upgrade

Upgrade mcptools to the latest version.

# Upgrade to the latest version
mcptools upgrade

# Force upgrade even if already on latest
mcptools upgrade --force

Development

# Build
cargo build

# Run tests
cargo test

# Run clippy
cargo clippy

# Watch mode (requires bacon)
bacon

License

mcptools is MIT licensed. The embedded tldraw SDK has its own license; the MIT license does not grant a tldraw production license. Resolve SDK licensing before production use. License validation and watermark rendering remain unchanged. The SDK can send a license-tracking request to https://cdn.tldraw.com/5.6.0/watermarks/watermark-track.svg with query parameters. Apart from that SDK request, the canvas page and its bundled assets and storage are self-hosted. See diagram page licensing.

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