Colabfit Mcp
Query the ColabFit materials-science dataset from Claude Code or Cursor while designing ML pipelines or validating simulation benchmarks.
Overview
ColabFit MCP is an MCP server for the Build phase that gives coding agents programmatic access to the ColabFit materials-science database over stdio.
What is this MCP server?
- Stdio MCP transport via PyPI package colabfit-mcp (v0.0.3)
- Read/query workflows against the public ColabFit database from your coding agent
- Fits computational chemistry and atomistic ML dataset discovery without custom scrapers
- Lightweight server.json-first install—no SKILL.md ritual, register in Claude Desktop or compatible hosts
- Open-source repo at github.com/colabfit/colabfit-mcp
Community signal: 2 GitHub stars.
What problem does it solve?
Pulling ColabFit dataset metadata into an agent session usually means leaving the IDE, searching the web, and copy-pasting—slow when you are iterating on ML or simulation code.
Who is it for?
Indie researchers or builders shipping agent-assisted tooling around computational materials datasets who already use MCP in Claude Code or Cursor.
Skip if: Teams that only need generic SQL or who are not working with ColabFit-style atomistic datasets.
What do I get? / Deliverables
After you register the server, your agent can query ColabFit-backed data in-thread while you implement integrations, benchmarks, or documentation.
- Registered stdio MCP server pointing at colabfit-mcp
- Agent-callable tools for ColabFit database queries in your dev session
Recommended MCP Servers
Journey fit
ColabFit access is most relevant when you are wiring agent tooling and backends to external scientific data stores during product build. MCP stdio bridges the agent to the database API—classic build-phase integration work, not launch or grow marketing.
How it compares
Specialized scientific database MCP, not a general-purpose Postgres or Supabase connector.
Common Questions / FAQ
Who is ColabFit MCP for?
Builders and researchers using AI coding agents who need ColabFit database access during implementation, not a separate desktop app.
When should I use ColabFit MCP?
Use it in the build phase when wiring agent tooling to external datasets, writing eval scripts, or documenting which ColabFit entries your pipeline consumes.
How do I add ColabFit MCP to my agent?
Install the colabfit-mcp PyPI package, add a stdio MCP server entry in your host config (Claude Code, Cursor, etc.), and restart the client so tools appear in the session.