# LinkedIn

> Use this tool when you need to leverage professional networking capabilities, such as searching profiles, retrieving professional information, or sending messages, to support recruitment workflows, career research, or networking applications. It provides a standardized interface to the LinkedIn API, enabling AI assistants to interact with LinkedIn's platform through a secure OAuth authentication protocol. Ideal for use cases requiring access to professional data, job postings, or messaging functionality.

Canonical page: https://skillsregistry.net/skills/felipfr-linkedin  
JSON: https://api.skillsregistry.net/v1/skills/felipfr-linkedin

## Description

LinkedIn MCP Server provides a bridge to the LinkedIn API, enabling AI assistants to search for profiles, retrieve detailed professional information, search job postings, and send messages through a standardized protocol. Built with TypeScript using the Model Context Protocol SDK, it implements OAuth authentication with LinkedIn's API and includes comprehensive metrics tracking for performance monitoring. The server exposes seven tools for LinkedIn interactions including people search, profile retrieval, job search, and messaging capabilities, making it ideal for recruitment workflows, professional networking, and career research applications.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/felipfr-linkedin)
- **Repository:** <https://github.com/felipfr/linkedin-mcpserver>

## 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": "felipfr-linkedin"
    }
  }
}
```

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