# linkedin-mcp-server

> Use this tool when you need to interact with LinkedIn services through natural language, enabling operations like posting and profile management. It solves problems of automating LinkedIn tasks and integrating LinkedIn functionality into larger systems. The tool accepts natural language inputs and outputs LinkedIn API responses, making it ideal for use cases requiring seamless LinkedIn integration.

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

## Description

Enables interaction with LinkedIn tools and services through the Universal MCP framework, allowing operations like posting and profile management via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/czki9ks2d6)
- **Repository:** <https://github.com/universal-mcp/linkedin>

## 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": "universal-mcp-linkedin"
    }
  }
}
```

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