servers/ ai-agents/ gtm-api-linkedin-mcp-server
GTM API: LinkedIn MCP Server icon

GTM API: LinkedIn MCP Server

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

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Overview Installation

Overview

GTM API: LinkedIn MCP Server is a Model Context Protocol (MCP) server: Managed LinkedIn MCP server for AI agents: search, connect, message and enrich on accounts you own. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.

You can run GTM API: LinkedIn MCP Server two ways: connect to the hosted endpoint at https://mcp.gtm-api.com/mcp with no local install, or run it on your own machine via the npm package @gtm-api/linkedin-mcp. Configuration happens through environment variables — you'll need GTM_API_KEY. The current release is v1.1.0, published under the MIT license, with source at gtm-api/linkedin-mcp on GitHub.

You'll find GTM API: LinkedIn MCP Server in the AI & Agents category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain GTM API: LinkedIn MCP Server for gtm-api.com, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Hosted endpoint — Streamable HTTP · https://mcp.gtm-api.com/mcp
npm package — @gtm-api/linkedin-mcp · MCP over stdio
Credentials — Requires GTM_API_KEY
Open source — MIT license · gtm-api/linkedin-mcp
Topics — ai-agents, ai-sdr, chatgpt, claude, cursor

Installation

Settings → Connectors → Add custom connector
Name: GTM API: LinkedIn MCP Server
URL:  https://mcp.gtm-api.com/mcp

Requires GTM_API_KEY

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