# LinkedIn MCP Server

> Use this tool when you need to access and analyze LinkedIn profile data within Claude Desktop, enabling users to query their LinkedIn information directly. It solves problems related to data accessibility and integration, providing a seamless interface for users to retrieve LinkedIn data. The LinkedIn MCP Server takes user queries as input and outputs relevant LinkedIn profile data through the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/francisco-perez-sorrosal-linkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/francisco-perez-sorrosal-linkedin-mcp

## Description

Enables Claude to access and analyze LinkedIn profile data through the Model Context Protocol, allowing users to query their LinkedIn information directly within Claude Desktop.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hdy0mqfz55)
- **Repository:** <https://github.com/francisco-perez-sorrosal/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": "francisco-perez-sorrosal-linkedin-mcp"
    }
  }
}
```

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