# LinkedIn MCP for OpenWorker

> LinkedIn MCP for OpenWorker — mohamed-godaa-linkedin-mcp-openworker. Use this tool when you need to integrate LinkedIn profile data and posting capabilities into your application, enabling seamless reads and writes through a secure, OAuth-managed interface. It solves problems related to social media integration, profile management, and content posting, providing a local-first MCP server for efficient data exchange. Ideal for use cases requiring secure, approval-friendly LinkedIn interactions, such as recruitment, marketing, or personal branding automation.

Canonical page: https://skillsregistry.net/skills/mohamed-godaa-linkedin-mcp-openworker  
JSON: https://api.skillsregistry.net/v1/skills/mohamed-godaa-linkedin-mcp-openworker

## Description

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r0acvh9l8u)
- **Repository:** <https://github.com/Mohamed-Godaa/linkedin-mcp-openworker>

## 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": "mohamed-godaa-linkedin-mcp-openworker"
    }
  }
}
```

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