EnrichMCP
EnrichMCP is a python framework for building data driven MCP servers
What is EnrichMCP?
EnrichMCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enrichmcp is a python framework for building data driven mcp servers
EnrichMCP is a python framework for building data driven MCP servers
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- EnrichMCP is a python framework for building data driven MCP
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx enrichmcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use EnrichMCP
EnrichMCP is a Python framework designed for building data-driven MCP servers with minimal boilerplate. Connect it to Claude to rapidly prototype custom MCP servers tailored to your specific data workflows, analysis needs, and integration requirements.
Prerequisites
- Node.js 18+ installed (for npx)
- Python 3.8+ with pip
- An MCP client such as Claude Desktop or Cursor
- Basic understanding of Python development
Install EnrichMCP Framework
Install EnrichMCP via npx. This sets up the Python framework for building data-driven MCP servers.
npx enrichmcpAdd to MCP Client Configuration
Register EnrichMCP in your MCP client configuration file.
{
"mcpServers": {
"enrichmcp": {
"command": "npx",
"args": ["enrichmcp"]
}
}
}Verify Python Environment
Ensure Python 3.8+ is available and all EnrichMCP dependencies are installed. Check the repository README for framework-specific requirements.
Restart MCP Client
Close and reopen Claude Desktop or Cursor to load the EnrichMCP server.
Start Building Custom Servers
Refer to the EnrichMCP documentation at https://github.com/featureform/enrichmcp to create data-driven MCP servers for your use cases.
EnrichMCP Examples
Installation Command
Install EnrichMCP framework via npx
npx enrichmcpMCP Configuration
Configuration block to register EnrichMCP in Claude Desktop
{
"mcpServers": {
"enrichmcp": {
"command": "npx",
"args": ["enrichmcp"]
}
}
}Framework Usage Examples
Typical workflows for EnrichMCP-based server development
1. Build an MCP server that enriches customer data with external APIs and databases.
2. Create a data validation server that enforces schema rules before processing.
3. Develop a real-time analytics server that aggregates data from multiple sources.
4. Prototype a specialized MCP server for your domain-specific data workflows.Troubleshooting EnrichMCP
EnrichMCP framework fails to initialize
Ensure Python 3.8+ is available in your PATH. Run 'python --version' to verify. Check that pip is installed and accessible. If using a virtual environment, activate it before starting the MCP client.
Custom MCP server doesn't connect to Claude
Verify the MCP server is properly registered in the configuration file with correct syntax. Check the server logs for connection errors. Ensure the server process is running and listening on the expected port.
Data processing errors in built-in MCP servers
Check the repository examples and documentation for correct data schema expectations. Verify data sources are accessible and properly formatted. Enable debug logging in EnrichMCP to identify processing errors.
Frequently Asked Questions about EnrichMCP
What is EnrichMCP?
EnrichMCP is a Model Context Protocol (MCP) server that enrichmcp is a python framework for building data driven mcp servers It connects AI assistants to external tools and data sources through a standardized interface.
How do I install EnrichMCP?
Follow the installation instructions on the EnrichMCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with EnrichMCP?
EnrichMCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is EnrichMCP free to use?
Yes, EnrichMCP is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up EnrichMCP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use EnrichMCP?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.