# LinkedIn MCP

> Use this tool when you need to manage and automate your LinkedIn presence, publishing posts with images and controlling visibility to reach your audience. It solves problems such as driving conversations, tracking interactions, and maintaining a consistent online brand. With inputs including post content and images, and outputs like published posts and comment interactions, it provides a streamlined interface for LinkedIn engagement.

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

## Description

Publish posts to LinkedIn with images and visibility controls. React to posts and add, edit, or delete comments to drive conversation. Retrieve content details to inform and track your interactions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/maxbeech/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": "maxbeech-linkedin-mcp"
    }
  }
}
```

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