# linkedin-mcp-server

> linkedin-mcp-server — vahabcore-linkedin-mcp-server. Use this tool when you need to automate LinkedIn content management and engagement for AI agents. It solves problems related to content creation, account management, and social media interaction by providing a production-ready server that integrates with the official LinkedIn REST API. The tool accepts input parameters for content creation and management, and outputs automated LinkedIn interactions and engagement metrics.

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

## Description

A production-ready MCP server that enables AI agents to autonomously create, manage, and engage with LinkedIn content through the official LinkedIn REST API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d8retkvwpe)
- **Repository:** <https://github.com/vahabcore/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": "vahabcore-linkedin-mcp-server"
    }
  }
}
```

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