-
securityA
license-
qualityEnables posting text and media content directly to LinkedIn from Claude Desktop with support for authentication and visibility controls.
Last updated -
5
MIT License
Manages environment variables for the LinkedIn MCP server, particularly for storing and accessing the RapidAPI key.
Enables access to the LinkedIn MCP project repository for installation and contribution.
Provides the implementation environment for the LinkedIn profile analyzer MCP server.
Integrates with LinkedIn Data API on RapidAPI to fetch posts from public LinkedIn profiles, allowing profile data retrieval and analysis.
LinkedIn Profile Analyzer MCP
A powerful LinkedIn profile analyzer MCP (Model Context Protocol) server that interacts with LinkedIn's API to fetch, analyze, and manage LinkedIn posts data. This MCP is specifically designed to work with Claude AI.
Features
Fetch and store LinkedIn posts for any public profile
Search through posts with keyword filtering
Get top performing posts based on engagement metrics
Filter posts by date range
Paginated access to stored posts
Easy integration with Claude AI
Prerequisites
Python 3.7+
RapidAPI key for LinkedIn Data API
Claude AI access
Getting Started
1. Get RapidAPI Key
Sign up or log in to RapidAPI
Subscribe to the LinkedIn Data API
Copy your RapidAPI key from the dashboard
2. Installation
Clone the repository:
git clone https://github.com/rugvedp/linkedin-mcp.git
cd linkedin-mcp
Install dependencies:
pip install -r requirements.txt
Set up environment variables:
Create a
.envfileAdd your RapidAPI key:
RAPIDAPI_KEY=your_rapidapi_key_here
Project Structure
linkedin-mcp/
├── main.py # Main MCP server implementation
├── mcp.json # MCP configuration file
├── requirements.txt # Python dependencies
├── .env # Environment variables
└── README.md # Documentation
MCP Configuration
The mcp.json file configures the LinkedIn MCP server:
{
"mcpServers": {
"LinkedIn Updated": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"path/to/your/script.py"
]
}
}
}
Make sure to update the path in args to match your local file location.
Available Tools
1. fetch_and_save_linkedin_posts
Fetches LinkedIn posts for a given username and saves them locally.
fetch_and_save_linkedin_posts(username: str) -> str
2. get_saved_posts
Retrieves saved posts with pagination support.
get_saved_posts(start: int = 0, limit: int = 10) -> dict
3. search_posts
Searches posts for specific keywords.
search_posts(keyword: str) -> dict
4. get_top_posts
Returns top performing posts based on engagement metrics.
get_top_posts(metric: str = "Like Count", top_n: int = 5) -> dict
5. get_posts_by_date
Filters posts within a specified date range.
get_posts_by_date(start_date: str, end_date: str) -> dict
Using with Claude
Initialize the MCP server in your conversation with Claude
Use the available tools through natural language commands
Claude will help you interact with LinkedIn data using these tools
API Integration
This project uses the following endpoint from the LinkedIn Data API:
GET /get-profile-posts: Fetches posts from a LinkedIn profileBase URL:
https://linkedin-data-api.p.rapidapi.comRequired Headers:
x-rapidapi-key: Your RapidAPI keyx-rapidapi-host:linkedin-data-api.p.rapidapi.com
Contributing
Fork the repository
Create your feature branch (
git checkout -b feature/amazing-feature)Commit your changes (
git commit -m 'Add amazing feature')Push to the branch (
git push origin feature/amazing-feature)Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Repository
Acknowledgments
RapidAPI for providing LinkedIn data access
Anthropic for Claude AI capabilities
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A powerful LinkedIn Profile Analyzer that seamlessly integrates with Claude AI to fetch and analyze public LinkedIn profiles, enabling users to extract, search, and analyze posts data through RapidAPI's LinkedIn Data API.
- Features
- Prerequisites
- Getting Started
- Project Structure
- MCP Configuration
- Available Tools
- Using with Claude
- API Integration
- Contributing
- License
- Author
- Repository
- Acknowledgments
Related Resources
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