# linkedin-fastmcp

> linkedin-fastmcp — rajdudhare1-linkedin-fastmcp. Use this tool when you need to integrate LinkedIn's REST APIs into your applications, enabling features like post creation, image uploading, and comment management. It solves problems related to social media automation, content management, and API integration, providing a secure and reliable interface for 36 different tools. With linkedin-fastmcp, you can input OAuth credentials and output customized LinkedIn interactions, making it ideal for use cases that require official API access.

Canonical page: https://skillsregistry.net/skills/rajdudhare1-linkedin-fastmcp  
JSON: https://api.skillsregistry.net/v1/skills/rajdudhare1-linkedin-fastmcp

## Description

Open-source MCP server for LinkedIn REST APIs. Give any AI coding agent (OpenCode, Claude, Cursor, Windsurf) the power to create posts, upload images, manage comments, reactions, events, and more -- all via official LinkedIn OAuth APIs. No browser scraping. 36 tools. Security hardened.

## Trust

- **Trust score (0–1):** 0.87
- **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/rajdudhare1/linkedin-fastmcp)

## 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": "rajdudhare1-linkedin-fastmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rajdudhare1-linkedin-fastmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rajdudhare1-linkedin-fastmcp/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