# LinkedIn MCP Server

> Use this tool when you need to automate interactions with LinkedIn, such as posting updates, commenting, or sharing media. It solves problems related to social media management, content sharing, and profile maintenance by providing a programmatic interface to LinkedIn's features. The tool accepts inputs like post content and media, and outputs include successful post or comment creation, and retrieved feed or profile data.

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

## Description

Enables Claude to interact with LinkedIn for posting, commenting, sharing media, and viewing feed and profile.

## 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:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dijyfo2joa)
- **Repository:** <https://github.com/rgthelen/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": "rgthelen-linkedin-mcp-server"
    }
  }
}
```

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

---
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