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by mdagost • Data & Databases
An MCP server that exposes a local SQLite and LanceDB vector database with Chicago Public Schools data for agent use.
Access and run SQL queries against a local table of Chicago public schools and their neighborhoods to retrieve structured school and neighborhood information.
Perform semantic search over Chicago public school website content using a LanceDB vector store to provide contextual answers about specific schools.
Integrate local CPS datasets into offline or privacy-preserving workflows, enabling agents to fetch school metadata and website context without external APIs.
This MCP server provides programmatic access to a local SQLite database of Chicago public schools and neighborhoods and a LanceDB vector database of school website content. It implements two tools for executing SQL queries against a schools-to-neighborhoods table and for semantic retrieval over school website content (with optional school name filtering). The project is intended to make local, privacy-friendly CPS data available to agents and can be run locally with simple configuration pointing to the SQLite and LanceDB files. Debugging support is provided via the MCP Inspector.
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