mcp-statcan-odcaf

JoseJimenez-M/mcp-statcan-odcaf

3.2

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This project implements a Model Context Protocol (MCP) server that interfaces with the Statistics Canada LODE dataset, specifically the Open Database of Cultural and Art Facilities (ODCAF).

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ODCAF MCP Server

A Machine Control Protocol (MCP) server that exposes the Official Canadian Cultural Facilities Dataset (ODCAF) through a clean and consistent MCP interface. This server allows ChatGPT and other MCP-compatible clients to query cultural facilities across Canada using JSON-RPC over HTTP + Server-Sent Events (SSE).

DEMO: https://youtu.be/DNTvEinVrUA

Features

Full MCP-Compatible API

Implements:

  • initialize
  • tools/list
  • tools/call
  • Real SSE endpoint (GET /sse) emitting notifications/initialized.

Tools Available

This server exposes the following tools:

1. get_schema

Returns the full schema of the ODCAF facilities table.

2. query_facilities

Query facilities by:

  • Province or territory
  • City
  • Facility type
  • Limit
3. search

Keyword-based search across:

  • Facility name
  • Facility type
  • City
  • Province
4. fetch

Fetch the full record of a facility by its exact name.

Dataset

The ODCAF dataset contains cultural facility metadata including:

  • Name, address, postal code
  • City, province/territory
  • Facility type (normalized by ODCAF)
  • Coordinates (latitude, longitude)
  • Geographic identifiers (CSD, PRUID, etc.)

This server uses:

  • ODCAF_v1.0.csv
  • Preprocessed into odcaf.db via SQLite

Running the Server

Local development

pip install -r requirements.txt
uvicorn main:app --reload --host 0.0.0.0 --port 8000

Production (Render / Cloud)

Set your app to run:

uvicorn main:app --host 0.0.0.0 --port 10000

🛰 MCP Endpoint

SSE endpoint: GET /sse

JSON-RPC endpoint: POST / or POST /sse

All tool calls follow MCP's tools/call specification.

License

This project wraps publicly available ODCAF data. You are free to modify or extend this MCP server for research or production use.