Data · Local MCP server

LinkedIn Toolkit

LinkedIn for AI agents from your own Chrome session: search, profiles, lists, outreach queue.

Visit LinkedIn Toolkit's website

What the MCP Registry states

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

Registry name
io.github.FormatixAI/linkedin-toolkit
Version
2.1.0
Status
Active
Category
data
Transport
stdio (local process)
Package
npm
Published
2026-09-18
Updated
2026-09-18
Publisher
FormatixAI (GitHub) · 2 servers with pages here
Listed under
LinkedIn MCP servers
Website
github.com/OpenRecruiterTools/linkedin-toolkit
Repository
github.com/OpenRecruiterTools/linkedin-toolkit
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
npmruntime: npxlinkedin-toolkit-mcp2.1.0stdioLINKEDIN_TOOLKIT_HOME

How to connect LinkedIn Toolkit

LinkedIn Toolkit runs locally from a Node.js package published to the npm registry: linkedin-toolkit-mcp version 2.1.0. 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-toolkit-mcp@2.1.0. It reads the environment variable LINKEDIN_TOOLKIT_HOME; set it in the client's configuration for this server.

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

{
  "mcpServers": {
    "linkedin-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "linkedin-toolkit-mcp@2.1.0"
      ],
      "env": {
        "LINKEDIN_TOOLKIT_HOME": "<value>"
      }
    }
  }
}

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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