MCP server for scraping LinkedIn, Facebook, Instagram profiles and Google search.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"custom-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
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A comprehensive Model Context Protocol (MCP) server that provides social media scraping capabilities for LinkedIn, Facebook, Instagram, and Google search functionality.
No automated test available for this server. Check the GitHub README for setup instructions.
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No known CVEs.
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Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect with external data sources and tools. MCP servers act as bridges between AI models and various services, allowing for enhanced capabilities like real-time data access, API integrations, and custom tool execution.
This server exposes the following tools for an AI assistant to use:
We recommend using uv to manage your Python projects.
If you haven't created a uv-managed project yet, create one:
uv init custom-mcp-server
cd custom-mcp-server
Then add MCP to your project dependencies:
uv add "mcp[cli]"
This will auto-generate files and folders similar to the project structure mentioned below, also create a .env file to securely store the API keys.
In the files generated look for main.py and copy paste the code given in main.py (repo).
uv add httpx python-dotenv fastmcp
RapidAPI Key:
Google Serper API Key:
Create .env file in your project root with the following variables:
RAPIDAPI_KEY=your_rapidapi_key_here
SERPER_API_KEY=your_serper_api_key_here
You can install this server in Claude Desktop and interact with it right away by running:
uv run mcp install main.py
Later, go to Claude AI (desktop version) and you will see changes in the platform similar to the screenshot shown.
Paste the URLs of required platform and ask the AI to provide information of the mentioned URLs.
Please scrape this LinkedIn pro
... [View full README on GitHub](https://github.com/Sharan-Kumar-R/Custom-MCP-Server#readme)