Mmcp.market

GTM API: LinkedIn MCP Server

by gtm-api.com·com.gtm-api/linkedin-mcp·v1.1.0

Managed LinkedIn MCP server for AI agents: search, connect, message and enrich on accounts you own.

A98/100grade A
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Safety scan
A98/100

full report

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90 stars

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GTM API: LinkedIn MCP Server tools

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Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned25/25
  • Live reliabilityremote reachable in 388ms (auth required)20/20
  • Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; website matches verified namespace8/10
Overall 98/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the GTM API: LinkedIn MCP Server repository's README, as published. We do not edit it. Read it on GitHub

gtm-api: LinkedIn MCP Server

gtm-api is a managed LinkedIn MCP server. It gives an AI agent one endpoint, three MCP tools and 160+ typed LinkedIn actions over the Model Context Protocol, so Claude, ChatGPT or Cursor can search, connect, message and enrich on a LinkedIn account you own, with account safety enforced server side.

This repository holds the public interface: what the server exposes, how to connect a client, and how the safety layer works.

What is a LinkedIn MCP server?

A LinkedIn MCP server exposes LinkedIn actions as Model Context Protocol tools, so an AI agent calls them directly, the way a person would click through the UI. LinkedIn publishes no official API for invitations, member messages or open profile search, so a LinkedIn MCP server works through an account you own rather than through LinkedIn's developer platform.

Two shapes exist today. Cookie-driven open-source servers run a browser session with your own cookie and no pacing. Managed servers run each account in isolated infrastructure with limits enforced before every action. gtm-api is the second kind.

Which clients it works with

Any MCP-compatible client:

  • Claude (Desktop, Code, and the API)
  • Cursor
  • ChatGPT (via connectors)
  • LangChain, n8n, and custom agent runtimes

Not using MCP? Every tool is also a typed REST endpoint with webhooks. One schema generates all three surfaces.

Quickstart

1. Sign up. Create an account at app.gtm-api.com (forever free plan, no card) and connect a LinkedIn account. It opens in a dedicated anti-detect cloud browser with its own proxy.

2. Add the server to your MCP client. For Claude Desktop, edit claudedesktopconfig.json (example in examples/):

{
  "mcpServers": {
    "gtm-api": {
      "url": "https://mcp.gtm-api.com/mcp"
    }
  }
}

There is no key to paste. The endpoint authenticates with OAuth: your client gets a WWW-Authenticate challenge on the first call, registers itself with the authorization server (dynamic client registration), and opens a consent page in your browser.

Headless clients can skip the browser. The same API key (gtmlive...) that authenticates the REST API also works on this endpoint as a plain bearer token, which is what makes it usable from CI and servers:

claude mcp add --transport http gtm-api https://mcp.gtm-api.com/mcp --header "Authorization: Bearer gtm_live_..."

For command-spawning clients, the launcher below reads the key from GTMAPIKEY instead (1.3.0 or newer; older pins ignore it and do OAuth only). Pick one mode per connection: with a key attached, the OAuth flow never starts. Interactive clients such as claude.ai connectors have no header field and always use OAuth. Full matrix: docs.gtm-api.com/mcp/connect.

Client can only spawn a command, not open a URL? The @gtm-api/linkedin-mcp launcher bridges stdio clients to the same endpoint and runs the same OAuth flow (config in examples/):

{
  "mcpServers": {
    "gtm-api": {
      "command": "npx",
      "args": ["-y", "@gtm-api/linkedin-mcp"]
    }
  }
}

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

claude mcp add --transport http linkedin-mcp https://mcp.gtm-api.com/mcp
Add to Cursor

GTM API: LinkedIn MCP Server: common questions

Is GTM API: LinkedIn MCP Server safe?
Yes, by our scan: it is graded A (98/100). Read the GTM API: LinkedIn MCP Server safety report
How do I install GTM API: LinkedIn MCP Server?
It runs remotely at mcp.gtm-api.com. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does GTM API: LinkedIn MCP Server need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is GTM API: LinkedIn MCP Server maintained?
The last commit was in the last day (2026-09-24). The latest release is v1.1.0.
Is GTM API: LinkedIn MCP Server up?
100% of our last 21 checks got an answer. We check remote servers about four times a day.
What can I use instead of GTM API: LinkedIn MCP Server?
Servers from other publishers that do the same job: GTM Otto MCP server, YourICP MCP server and LinkedIn MCP Server. Compare all GTM API: LinkedIn MCP Server alternatives.

Alternatives to GTM API: LinkedIn MCP Server

Same job from other publishers: the closest match first, then the best rated.

All GTM API: LinkedIn MCP Server alternatives →
  • GTM Otto
    Self-driving LinkedIn prospecting: it sources, warms and invites daily. You approve every message.
    A
  • YourICP
    Enrich contacts by email or LinkedIn URL and build targeted B2B audiences.
    A
  • LinkedIn MCP Server
    Find LinkedIn jobs and people, research companies, manage network, posts, and messages with MCP.
    A
  • Nilyo
    Your own LinkedIn, WhatsApp, Instagram, Telegram, Email and Calendar accounts, usable from any agent
    A
  • ZOOQ - LinkedIn Data for AI Agents
    Live LinkedIn data for AI agents: profiles, companies, jobs, posts, email finding. No account risk.
    A

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