# LinkedIn MCP Server

> Use this tool when you need to integrate AI agents with LinkedIn for seamless authentication and content sharing. It solves problems related to social media automation, content distribution, and AI-driven engagement by enabling agents to share posts or links via the Model Context Protocol. The tool accepts authentication credentials as input and outputs shared content on LinkedIn, ideal for use cases requiring automated social media management and AI-generated content publishing.

Canonical page: https://skillsregistry.net/skills/sandeepramdas-linked-in-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sandeepramdas-linked-in-mcp

## Description

Allows AI agents to authenticate with LinkedIn and share posts or links via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aebfx3r4km)
- **Repository:** <https://github.com/sandeepramdas/Linked-In-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": "sandeepramdas-linked-in-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandeepramdas-linked-in-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandeepramdas-linked-in-mcp/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