InferMap
Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.
What is InferMap?
InferMap is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to map messy columns to a known schema — 7 scorers, domain dictionaries, f1 0.84. zero config.
Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Map messy columns to a known schema — 7 scorers, domain dict
Use Cases
Maintainer
Works with
Installation
PIP
pip install infermapManual Installation
pip install infermapConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about InferMap
What is InferMap?
InferMap is a Model Context Protocol (MCP) server that map messy columns to a known schema — 7 scorers, domain dictionaries, f1 0.84. zero config. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install InferMap?
Install via pip with: pip install infermap. Then configure your AI client to connect to this MCP server.
Which AI clients work with InferMap?
InferMap works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is InferMap free to use?
Yes, InferMap is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up InferMap 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
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