# LinkedIn MCP Server

> Use this tool when you need to automate interactions with LinkedIn for tasks like job applications, profile management, and feed browsing. It solves problems related to streamlining professional networking and recruitment processes through natural language commands. The LinkedIn MCP Server takes in natural language inputs and outputs relevant data and actions, such as job postings, profile information, and feed updates.

Canonical page: https://skillsregistry.net/skills/hritik003-linkedin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hritik003-linkedin-mcp

## Description

A Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.

## 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/c1kii7w6cr)
- **Repository:** <https://github.com/Hritik003/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": "hritik003-linkedin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hritik003-linkedin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hritik003-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