# linkedin-mcp-server

> linkedin-mcp-server — dishant27-linkedin-mcp-server. Use this tool when you need to integrate LinkedIn APIs with your application using the Model Context Protocol (MCP) server, solving issues of data exchange and authentication. It takes in API requests and outputs standardized data, providing a seamless interface for LinkedIn data integration. Ideal for use cases requiring secure and standardized data exchange between LinkedIn and external applications.

Canonical page: https://skillsregistry.net/skills/dishant27-linkedin-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/dishant27-linkedin-mcp-server

## Description

Model Context Protocol (MCP) server for LinkedIn API integration

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Dishant27/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": "dishant27-linkedin-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dishant27-linkedin-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dishant27-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
