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server

Inkdrop Model Context Protocol Server

Unclaimed ai
39Low

Scored 3 months ago · breakdown

About server

server is an MCP server published by git+inkdropapp in the AI category: inkdrop Model Context Protocol Server. It has been installed 0 times through Conduid.

Install

Install
npx @inkdropapp/mcp-server
Claude Code
claude mcp add server-gitinkdr -- npx -y @inkdropapp/mcp-server
npx
npx -y @inkdropapp/mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Inkdrop MCP Server

A Model Context Protocol server for the Inkdrop Local HTTP Server API.

Installation

  1. Set up a local HTTP server

  2. Add server config to Claude Desktop:

    • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "inkdrop": {
      "command": "npx",
      "args": ["-y", "@inkdropapp/mcp-server"],
      "env": {
        "INKDROP_LOCAL_SERVER_URL": "http://localhost:19840",
        "INKDROP_LOCAL_USERNAME": "your-local-server-username",
        "INKDROP_LOCAL_PASSWORD": "your-local-server-password"
      }
    }
  }
}

Components

Tools

  1. read-note: Retrieve the complete contents of the note by its ID from the database.
    • Required inputs:
      • noteId: The ID of the note to retrieve. It can be found as _id in the note docs. It always starts with note:.
  2. search-notes: List all notes that contain a given keyword.
    • Required inputs:
      • keyword: Keyword to search for.
    • Note: Results include truncated note bodies (200 characters). Use read-note to get full content.
    • Supports advanced search qualifiers like book:, tag:, status:, title:, etc.
  3. list-notes: List all notes with specified conditions.
    • Required inputs:
      • bookId: The notebook ID. It always starts with 'book:'.
    • Optional inputs:
      • tagIds: An array of tag IDs to filter. Each starts with 'tag:'.
      • keyword: Keyword to filter notes.
      • sort: Sort field (updatedAt, createdAt, or title). Default: updatedAt.
      • descending: Reverse the order of output. Default: true.
    • Note: Results include truncated note bodies (200 characters). Use read-note to get full content.
  4. create-note: Create a new note in the database.
    • Required inputs:
      • bookId: The notebook ID. Must start with 'book:' or be 'trash'.
      • title: The note title.
      • body: The content of the note in Markdown.
    • Optional inputs:
      • status: The note status (none, active, onHold, completed, dropped).
      • tags: An array of tag IDs to assign to the note. Each must start with 'tag:'.
  5. update-note: Update an existing note in the database. Only the fields you provide will be updated; omitted fields remain unchanged.
    • Required inputs:
      • _id: The note ID. Must start with 'note:'.
      • _rev: The revision ID (CouchDB MVCC-token).
    • Optional inputs:
      • bookId: The notebook ID. Must start with 'book:' or be 'trash'.
      • title: The note title.
      • body: The content of the note in Markdown.
      • status: The note status (none, active, onHold, completed, dropped).
      • tags: An array of tag IDs to assign to the note. Each must start with 'tag:'.
  6. patch-note: Update the body of an existing note by performing an exact string replacement. More efficient than update-note for small edits to large notes as it saves tokens. You must first read the note with read-note to get the current body.
    • Required inputs:
      • _id: The note ID. Must start with 'note:'.
      • _rev: The revision ID (CouchDB MVCC-token).
      • old_string: The exact text to find in the note body. Must match exactly one occurrence. Include enough surrounding context to ensure a unique match.
      • new_string: The text to replace old_string with. Use an empty string to delete the matched text.
  7. list-notebooks: Retrieve a list of all notebooks.
  8. read-book: Retrieve a single notebook by its ID.
    • Required inputs:
      • bookId: The notebook ID. Must start with 'book:'.
  9. list-tags: Retrieve a list of all tags.
  10. read-tag: Retrieve a single tag by its ID.
    • Required inputs:
      • tagId: The tag ID. Must start with 'tag:'.
  11. create-tag: Create a new tag in the database.
    • Required inputs:
      • name: The name of the tag.
    • Optional inputs:
      • color: The color type of the tag (default, red, orange, yellow, olive, green, teal, blue, violet, purple, pink, brown, grey, black). Default: default.
  12. update-tag: Update an existing tag in the database.
    • Required inputs:
      • _id: The tag ID. Must start with 'tag:'.
      • _rev: The revision ID (CouchDB MVCC-token).
      • name: The name of the tag.
    • Optional inputs:
      • color: The color type of the tag. Default: default.

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector "./dist/index.js"

Be sure that environment variables are properly configured.

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

You can also watch the server logs with this command:

tail -n 20 -f ~/Library/Logs/Claude/mcp-server-inkdrop.log

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About server

How do I install server?

Run npx @inkdropapp/mcp-server, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is server safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.