A Model Context Protocol server
Linkedin mcpserver mcp server lets Claude, Cursor and other MCP clients work with Linkedin Mcpserver directly. A Model Context Protocol server.
A powerful Model Context Protocol server for LinkedIn API integration
Once connected, the assistant can call these 4 tools directly:
Messaging — Send messages to LinkedIn connectionsPrerequisites — The Prerequisites tool exposed by this serverSetup — The Setup tool exposed by this serverConfiguration — The Configuration tool exposed by this serverSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Communication servers earn their keep on volume — summarising channels and threads that would otherwise cost you an hour of scrollback. Linkedin Mcpserver sits in that group, and the shape of its toolset — Messaging, Prerequisites, Setup among others — tells you what it is really for. Worth comparing against the other communication servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Messaging | Send messages to LinkedIn connections |
| Prerequisites | The Prerequisites tool exposed by this server. |
| Setup | The Setup tool exposed by this server. |
| Configuration | The Configuration tool exposed by this server. |
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Inbox intelligence — search, read, draft and send Gmail through your assistant with OAuth auto-setup.
Read and write Jira, Confluence, Bitbucket, JSM and Compass from your AI client — with your own permissions.
Read and send Telegram messages through your assistant — chats, channels and history via the client API.
Enables Discord bot integration with Model Context Protocol (MCP) compatible applications like Claude Desktop.
Exposes REST APIs defined by OpenAPI specifications as Model Context Protocol (MCP) tools, facilitating seamless integration into MCP-based workflows.