# MCP LinkedIn

> Use this tool when you need to interact with LinkedIn feeds and search for job listings through natural language, enabling you to retrieve recent feed posts and find professional opportunities based on specific keywords and locations. It solves problems related to job searching, feed monitoring, and professional networking, providing a user-friendly interface for natural language inputs and outputs. Ideal for users seeking to streamline their LinkedIn interactions and job searches, it offers a convenient and efficient way to stay up-to-date on industry news and job openings.

Canonical page: https://skillsregistry.net/skills/o2alexanderfedin-mcp-linkedin  
JSON: https://api.skillsregistry.net/v1/skills/o2alexanderfedin-mcp-linkedin

## Description

An MCP server that enables users to interact with LinkedIn feeds and search for job listings through natural language. It provides tools for retrieving recent feed posts and searching for professional opportunities based on specific keywords and locations.

## 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:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pn9a53o2j0)
- **Repository:** <https://github.com/o2alexanderfedin/mcp-linkedin>

## 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": "o2alexanderfedin-mcp-linkedin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/o2alexanderfedin-mcp-linkedin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/o2alexanderfedin-mcp-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