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    Mcp Cps Data

    MCP Server for locally hosted data on Chicago Public Schools

    0 stars
    Python
    Updated Dec 9, 2024

    Table of Contents

    • Components
    • Tools
    • Configuration
    • Quickstart
    • Install
    • Claude Desktop
    • Debugging

    Table of Contents

    • Components
    • Tools
    • Configuration
    • Quickstart
    • Install
    • Claude Desktop
    • Debugging

    Documentation

    mcp-cps-data MCP server

    A MCP server project for exposing a local SQLite database and a local LanceDB vector database with information on Chicago Public Schools

    Components

    Tools

    The server implements two tools:

    • query_schools_and_neighborhoods: Excecute a SELECT query on a table of Chicago public schools and their neighborhoods called "schooltoneighborhood" with the following schema: (id INTEGER NOT NULL, created_at DATETIME NOT NULL, school_id INTEGER NOT NULL, school_name VARCHAR NOT NULL, neighborhood VARCHAR NOT NULL, PRIMARY KEY (id)).
    • Takes required parameter query
    • query_school_websites: Query a database of Chicago public school websites for context relevant to answering a given question.
    • Takes required parameter question and optional parameter school_name.

    Configuration

    Get the SQlite database and the LanceDB vector database from the [cps-childcare] project(https://github.com/mdagost/cps-childcare).

    Quickstart

    Install

    Claude Desktop

    On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

    On Windows: %APPDATA%/Claude/claude_desktop_config.json

    Development/Unpublished Servers Configuration:

    code
    "mcpServers": {
        "mcp-cps-data": {
          "command": "uv",
          "args": [
            "--directory",
            "/path/to/mcp-cps-data",
            "run",
            "mcp-cps-data",
            "--sqlite-path",
            "/path/to/cps_crawler.db",
            "--lancedb-path",
            "/path/to/embeddings.lancedb"
          ]
        }
      }

    Debugging

    Since MCP servers run over stdio, debugging can be challenging. For the best debugging

    experience, we strongly recommend using the MCP Inspector.

    You can launch the MCP Inspector via [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

    bash
    npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-cps-data run mcp-cps-data --sqlite-path /path/to/cps_crawler.db --lancedb-path /path/to/embeddings.lancedb

    Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

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