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LinkedIn MCP Server: DMs, Inbox & Network for Claude, ChatGPT, C…VerifiedFeatured

@TalkToHumans

Basic information

Category

Communication

License

MIT

Auth

oauth

Author

TalkToHumans

Submitted by

Robin

About LinkedIn MCP Server: DMs, Inbox & Network for Claude, ChatGPT, Cursor

LinkedIn MCP server for Claude, ChatGPT, Cursor & Codex. Read LinkedIn DMs, search your network, enrich profiles and draft messages you review before sending.

#linkedin#linkedin mcp#linkedin mcp server#claude#chatgpt#cursor#codex#linkedin dms#linkedin inbox#sales#crm#remote mcp

LinkedIn MCP Server: DMs, Inbox & Network for Claude, ChatGPT, Cursor config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "talktohumans": {
      "url": "https://api.talktohumans.app/mcp"
    }
  }
}

LinkedIn MCP Server: DMs, Inbox & Network for Claude, ChatGPT, Cursor tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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Fetch the live tool list directly from this server's endpoint using the button above.

Overview

What is LinkedIn MCP Server?

LinkedIn MCP Server by TalkToHumans connects your LinkedIn account to Claude, ChatGPT, Cursor, Claude Code and Codex through the Model Context Protocol.

Your AI agent can read your LinkedIn DMs, search your network, enrich profiles and draft replies.

Nothing is sent automatically: every message waits for you to review and send it in TalkToHumans.

What your agent can do

  • Read your LinkedIn inbox: list conversations and full message threads, filter by date or unread
  • Search your network: query contacts and companies with server-side filters
  • Enrich profiles: pull LinkedIn profile data, find work emails and phone numbers
  • Draft messages and sequences: write replies or multi-step follow-ups, saved as drafts for you to approve
  • Organise: custom fields, saved views, templates and contact imports
  • Track activity: "who replied since Monday?" in one call

Comments

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