# mcp-linkedin

> Use this tool when you need to publish content on LinkedIn from AI coding assistants, solving the problem of automating social media posts and streamlining content sharing workflows. It takes AI-generated content as input and outputs published LinkedIn posts, with a default dry run mode for safe testing. Ideal for use cases requiring automated LinkedIn publishing, such as content marketing and social media management.

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

## Description

MCP server for LinkedIn publishing from AI coding assistants. Dry run by default, SKILL.md for safe workflows, 28 unit tests. MIT licensed.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s4nr3cul5m)
- **Repository:** <https://github.com/timkulbaev/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": "timkulbaev-mcp-linkedin"
    }
  }
}
```

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