# linkedin-mcp-server

> linkedin-mcp-server — mcp-layer-linkedin-mcp-server. Use this tool when you need to automate daily content publishing on LinkedIn, connecting Google Gemini Spark to the official LinkedIn REST API through the Model Context Protocol (MCP) server. It solves the problem of manual content scheduling, allowing for autonomous and efficient publishing. The server takes in scheduled content inputs and outputs published posts on LinkedIn, ideal for use cases requiring streamlined content management.

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

## Description

A Model Context Protocol (MCP) server that connects Google Gemini Spark to the official LinkedIn REST API for autonomous, scheduled daily content publishing.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/MCP-Layer/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": "mcp-layer-linkedin-mcp-server"
    }
  }
}
```

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