Linkedmash

Enable AI assistants to manage LinkedIn bookmarks with advanced filtering, searching, and pagination capabilities.

CommunityOnlineAPI key requiredGlobalFreeRead-only

What it can do

  • List Bookmarks: List bookmarks with optional filtering and pagination. IMPORTANT: Use this tool (with the 'author' parameter) when the user asks to show posts by a specific author, find posts from som
  • Search Bookmarks: Search through a user's LinkedIn bookmarks using either keyword (text) search or semantic (meaning-based) search. Supports all list_bookmarks filters, full-text search via the q fiel
  • Get Bookmark Count: Get the total count of bookmarks with optional filtering

What data it sees

Do you need an account

An API key from the service settings is required

Enable AI assistants to manage LinkedIn bookmarks with advanced filtering, searching, and pagination capabilities. Access bookmark counts and details filtered by read status, media type, author, tags, and date ranges. Seamlessly integrate Linkedmash bookmark management into your AI workflows using this MCP service.

How to connect

How to connect Linkedmash to Claude

The server address to paste into Claude settings:

https://linkedmash.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Linkedmash to ChatGPT

The server address to paste into ChatGPT settings:

https://linkedmash.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Linkedmash to Cursor

The server address to paste into Cursor settings:

https://linkedmash.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (7)

Raw names from tools/list. Only developers need these.

list_bookmarksList bookmarks with optional filtering and pagination. IMPORTANT: Use this tool (with the 'author' parameter) when the user asks to show posts by a specific author, find posts from someone, or filter by author name. The 'author' parameter supports fuzzy matching of author names.
search_bookmarksSearch through a user's LinkedIn bookmarks using either keyword (text) search or semantic (meaning-based) search. Supports all list_bookmarks filters, full-text search via the q field, and semantic search via the vector_search_term field for natural language or topic-based queries. IMPORTANT: At least one of 'q', 'vector_search_term', or 'author' must be provided. If the user asks to find posts by a specific author (e.g., 'Show posts by John Doe', 'Find posts from Suresh sambantham'), use the 'author' parameter instead of putting the author name in the 'q' field. Use 'q' for searching post content, not for filtering by author.
get_bookmark_countGet the total count of bookmarks with optional filtering
list_labelsList all user's labels/tags
add_labelsAdd labels to bookmarked posts. Either label_id or label_name must be provided.
remove_labelsRemove labels from bookmarked posts. Either label_id or label_name must be provided.
setup_vector_storeInitialize the vector store for semantic search. CRITICAL: When vector/semantic search fails with 'Vector Store Not Setup' error and you offered the user options to either initialize or use keyword search, and the user responds with 'first', 'option 1', 'yes', 'initialize', 'set it up', 'init', 'setup', 'go ahead' or similar confirmation, you MUST immediately call this tool. ALWAYS check your previous message in the chat history to confirm the user is responding to your options. Do NOT re-run the search tool - just call this tool. After calling this tool, inform the user that setup has started and may take a few minutes. This is an async operation that may take a few minutes to complete for large bookmark collections.