enrichmcp
pipStandardEnrichMCP exposes a Python framework for building data-driven MCP servers. It provides tools to transform data models into semantic layers for AI agents. The server connects to data sources and integrates with Featureform for feature management. Developers use it to create custom data enrichment services for AI applications.
642300Updated 1 month ago
Overview
EnrichMCP exposes a Python framework for building data-driven MCP servers. It provides tools to transform data models into semantic layers for AI agents. The server connects to data sources and integrates with Featureform for feature management. Developers use it to create custom data enrichment services for AI applications.
Installation
1Install the package
pip
pip install enrichmcp2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"featureform-enrichmcp-github": {
"command": "uvx",
"args": [
"pip install enrichmcp"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from enrichmcp?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in enrichmcp?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in enrichmcp"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in enrichmcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with enrichmcp
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