# LinkedIn MCP Server

> Use this tool when you need to integrate AI assistants with LinkedIn APIs for streamlined profile management, content creation, and networking. It solves problems related to social media management, content automation, and data analysis by providing a comprehensive interface for interacting with LinkedIn services. The LinkedIn MCP Server accepts API requests as input and returns relevant data and analytics as output, making it ideal for use cases that require automated LinkedIn interactions.

Canonical page: https://skillsregistry.net/skills/baptitse-jn-linkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/baptitse-jn-linkedin-mcp

## Description

A comprehensive Model Context Protocol server that enables AI assistants to interact with LinkedIn APIs for profile management, content creation, networking, messaging, and analytics.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cpy213sv7o)
- **Repository:** <https://github.com/baptitse-jn/linkedin_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "baptitse-jn-linkedin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/baptitse-jn-linkedin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/baptitse-jn-linkedin-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt