# linkedin-mcp-server

> linkedin-mcp-server — data-scrape-linkedin-mcp-server. Use this tool when you need to integrate AI agents with LinkedIn data, providing access to profiles, companies, and jobs via the Model Context Protocol. It solves problems of data retrieval and integration for AI models, allowing them to fetch relevant information from LinkedIn. The server accepts queries from AI agents and returns relevant data, making it ideal for use cases requiring real-time LinkedIn data access.

Canonical page: https://skillsregistry.net/skills/data-scrape-linkedin-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/data-scrape-linkedin-mcp-server

## Description

LinkedIn MCP Server - Give AI agents access to profiles, companies, and jobs via Model Context Protocol

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/data-scrape/linkedin-mcp-server)

## 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": "data-scrape-linkedin-mcp-server"
    }
  }
}
```

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