# linkedin-mcp

> linkedin-mcp — rzere-linkedin-mcp. Use this tool when you need to automate interactions on LinkedIn, such as posting updates or sending messages, while maintaining safety and control through approval queues. It allows AI agents to operate a real LinkedIn account using plain English inputs, streamlining social media management tasks. Ideal for use cases requiring automated LinkedIn engagement with human oversight and approval.

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

## Description

MCP server that lets AI agents operate a real LinkedIn account in plain English with safety controls and approval queues.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h6lx8lthrw)
- **Repository:** <https://github.com/rzere/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": "rzere-linkedin-mcp"
    }
  }
}
```

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