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LinkedIn MCP Server: Seamless Integration & Unmatched Performance - MCP Implementation

LinkedIn MCP Server: Seamless Integration & Unmatched Performance

The MCP Server: LinkedIn API's new BFF. Effortless integrations, top-tier performance, and a dash of sarcasm. šŸš€

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About LinkedIn MCP Server

What is LinkedIn MCP Server: Seamless Integration & Unmatched Performance?

LinkedIn MCP Server is a middleware solution enabling seamless interaction with LinkedIn's Community Management API through the Model Context Protocol (MCP). It supports both local and remote deployment using HTTP/SSE transport protocols and implements draft specifications for third-party OAuth2 authorization. This server acts as a bridge between MCP clients and LinkedIn's API, streamlining workflows for automation and data exchange.

How to Use LinkedIn MCP Server: Seamless Integration & Unmatched Performance?

Follow these steps to deploy the server:

  1. Install dependencies: pnpm install
  2. Configure environment variables with your LinkedIn client credentials and a secure JWT secret
  3. Start the server: pnpm run dev
  4. Integrate with MCP clients by pointing to http://localhost:3001/sse
  5. Use the MCP Inspector (https://github.com/modelcontextprotocol/inspector) for debugging

LinkedIn MCP Server Features

Key Features of LinkedIn MCP Server: Seamless Integration & Unmatched Performance?

Core capabilities include:

  • User Context Access: Retrieve profile details (name, headline, profile image) via the user-info tool
  • Content Automation: Programmatic post creation using create-post
  • Secure Authorization: Implements draft MCP specifications for third-party OAuth2 flows with LinkedIn
  • Flexible Deployment: Works across local development and production-ready environments

Use Cases of LinkedIn MCP Server: Seamless Integration & Unmatched Performance?

Common applications include:

  • Automating social media posting schedules
  • Building custom LinkedIn analytics dashboards
  • Integrating LinkedIn functionality into enterprise applications
  • Developing multi-platform content management systems

LinkedIn MCP Server FAQ

FAQ from LinkedIn MCP Server: Seamless Integration & Unmatched Performance?

Q: What Node.js version is required?
A: Node.js 22 (LTS/jod) and pnpm 10 are mandatory dependencies

Q: Is remote hosting supported?
A: Yes, though requires proper configuration of OAuth redirect URLs and SSL certificates

Q: Why is the authorization flow marked as draft?
A: The third-party OAuth flow is under active specification development but works reliably with MCP Inspector

Q: Can I use this with custom clients?
A: Yes, any MCP-compliant client can interface with this server through the defined endpoints

Content

Linkedin MCP Server

MCP server for interacting with Linkedin Community Management API.

This MCP server:

āš ļø Disclaimer: The Third-Party Authorization Flow proposal status is currently in draft. The only MCP client, to my knowledge, that currently implements this specification of the protocol is the MCP Inspector

Features

Tools

  • user-info - Get current logged in user infos (name, headline and profile picture)
  • create-post - Create a new post on LinkedIn

Installation

Follow those instructions to run Linkedin MCP server on your host. You'll need to provide your own Linkedin client.

Requirements

  • Node 22 (lts/jod)
  • pnpm 10
  • a Linkedin client with Community Management API product installed and http://localhost:3001/callback added to the authorized redirect URLs

Instructions

  • Install dependencies:

    pnpm install

  • Create env file and populate with your Linkedin client credentials and a random string secret value for JWT_SECRET:

    cp .env.template .env && vi .env

  • Run the server:

    pnpm run dev

  • Configure your favorite MCP client to use this new server:

    {
    "mcpServers": {
    "linkedin": {
    "url": "http://localhost:3001/sse"
    }
    }
    }

Debugging

Start the MCP Inspector to debug this server, which is available as a package script:

pnpm run inspector

Access the inspector in your browser at http://localhost:5173

Acknowledgment

Related MCP Servers & Clients