Data · Local MCP server

Linkedin MCP

LinkedIn for AI assistants — search, profiles, jobs, feed, messaging, and gated writes.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.devag7/linkedin-mcp
Version
2.0.3
Status
Active
Category
data
Transport
stdio (local process)
Package
npm
Published
2026-06-17
Updated
2026-06-17
Publisher
devag7 (GitHub)
Repository
github.com/devag7/linkedin-mcp
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
npmlinkedin-mcp-tools2.0.3stdioNone declared

How to connect Linkedin MCP

Linkedin MCP runs locally from a Node.js package published to the npm registry: linkedin-mcp-tools version 2.0.3. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Node.js; clients usually start it with npx — the usual command is npx -y linkedin-mcp-tools@2.0.3.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "linkedin-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "linkedin-mcp-tools@2.0.3"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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