Skip to main content
Glama
krunal16-c

Government of Canada Open Data MCP Servers

by krunal16-c
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Government of Canada Open Data MCP Servers

Python-based Model Context Protocol (MCP) servers for accessing Canada's Open Government data. This project includes two complementary MCP servers:

  1. GOV CA DATASET MCP - Universal dataset discovery, search, and metadata retrieval across all Canadian government open data

  2. GOV CA TRANSPORTATION MCP - Specialized infrastructure querying for bridges, tunnels, airports, ports, and railways with Statistics Canada cost data

Features

Dataset Discovery (gov_mcp)

  • Search across 250,000+ datasets from Open Government Canada

  • Browse by topic, organization, or jurisdiction (federal/provincial/municipal)

  • Get detailed dataset schemas and download URLs

  • Track recent dataset updates

Transportation Infrastructure (gov_ca_transportation)

  • Query bridge conditions using Statistics Canada national data for all provinces

  • Get infrastructure replacement costs from Statistics Canada surveys

  • Search airports and ports across Canada

  • Query railway infrastructure

  • Search tunnels by province and type

  • Unified data approach: Uses Statistics Canada Core Public Infrastructure Survey for consistent national coverage

Quick Start

Installation

# Clone and install cd gov_mcp pip install -e . # Or install dependencies directly pip install -r requirements.txt

Running the Servers

# Dataset Discovery MCP python -m gov_mcp.server # Transportation Infrastructure MCP python -m gov_ca_transportation.server

Docker Deployment

Both MCP servers can be run as Docker containers individually or together using Docker Compose.

Using Docker Compose (Recommended)

# Start all servers docker-compose up # Start in background (detached mode) docker-compose up -d # Start a specific server docker-compose up gov-ca-dataset docker-compose up gov-ca-transportation # View logs docker-compose logs -f # Stop all servers docker-compose down

Building Individual Docker Images

# Build Dataset Discovery MCP docker build -f gov_mcp/Dockerfile -t gov-ca-dataset-mcp . # Build Transportation Infrastructure MCP docker build -f gov_ca_transportation/Dockerfile -t gov-ca-transportation-mcp .

Running Individual Containers

# Run Dataset Discovery MCP (port 8002) docker run -d --name gov-ca-dataset -p 8002:8002 gov-ca-dataset-mcp # Run Transportation Infrastructure MCP (port 8001) docker run -d --name gov-ca-transportation -p 8001:8001 gov-ca-transportation-mcp

Docker Endpoints

Server

Container Port

Host Port

SSE Endpoint

Dataset Discovery

8002

8002

http://localhost:8002/sse

Transportation

8001

8001

http://localhost:8001/sse

SSE (Server-Sent Events) Transport

Both MCP servers support an SSE transport for HTTP-based streaming. Start either server with the --sse flag and a port argument to enable the SSE endpoint:

# Start Transportation MCP with SSE on port 8001 python -m gov_ca_transportation.server --sse --port 8001 # Start Dataset Discovery MCP with SSE on port 8002 python -m gov_mcp.server --sse --port 8002

When SSE is enabled, the server logs the SSE endpoint (e.g., http://0.0.0.0:8001/sse). You can connect to that endpoint using a web client, curl, or a Python SSE client.

Example connections:

  • Curl (raw stream):

curl -H "Accept: text/event-stream" -N http://localhost:8001/sse

  • JavaScript (EventSource):

const es = new EventSource("http://localhost:8001/sse"); es.onmessage = (e) => console.log("SSE message:", e.data); es.onerror = (err) => console.error("SSE error:", err);

  • Python (httpx-sse):

from httpx_sse import EventSource with EventSource("http://localhost:8001/sse") as event_source: for event in event_source: # event is an object with .event, .data, .id print(event.data)

Notes:

  • The SSE endpoint serves MCP events and results over HTTP for compatible clients.

  • The MCP server will print the SSE endpoint URL and port when started with --sse.

  • SSE-based transports require client support for Server-Sent Events (EventSource), or using Python/HTTP libraries with SSE support like httpx-sse.

Architecture

gov_mcp/ # Dataset Discovery MCP ├── server.py # MCP server with 7 tools ├── api_client.py # Open Government Canada API wrapper ├── http_client.py # HTTP client with retry logic └── types.py # Type definitions gov_ca_transportation/ # Transportation Infrastructure MCP ├── server.py # MCP server with 7 tools ├── api_client.py # Statistics Canada + provincial data fetching ├── http_client.py # HTTP client └── types.py # Type definitions

Data Sources

The Transportation MCP uses Statistics Canada as the primary data source for national coverage:

Data Type

Primary Source

Coverage

Bridge Conditions

Statistics Canada Table 34-10-0288-01

All provinces/territories

Infrastructure Costs

Statistics Canada Table 34-10-0284-01

All provinces/territories

Detailed Bridge Records

Provincial Open Data

Ontario, Quebec, Nova Scotia

Airports

Quebec Open Data, BC OpenMaps

Quebec, British Columbia

Railways

National Railway Network

National

Available Tools

Dataset Discovery MCP (gov_mcp) - 7 Tools

Tool

Description

search_datasets

Search across all 250,000+ Canadian government datasets

get_dataset_schema

Get complete schema with field definitions and download URLs

list_organizations

Browse by department/organization

browse_by_topic

Explore datasets by subject area

check_available_mcps

Check which specialized MCPs are available

get_activity_stream

See recently updated datasets

query_datastore

Query data directly (fallback mode)

Transportation Infrastructure MCP (gov_ca_transportation) - 7 Tools

Tool

Description

query_bridges

Search bridge infrastructure by province with StatCan condition data

analyze_bridge_conditions

Aggregate condition analysis using Statistics Canada data

get_infrastructure_costs

Get replacement costs by condition from Statistics Canada

query_ports_airports

Search airports, ports, marinas, heliports

query_railways

Search railway lines and stations

query_tunnels

Search tunnel infrastructure

compare_across_regions

Compare infrastructure across provinces

Example Usage

Search for Datasets

# Search for water datasets in Saskatchewan result = search_datasets(query="water Saskatchewan", limit=20) # Returns 103 datasets including water quality monitoring data

Analyze Bridge Conditions

# Get bridge conditions for any province using Statistics Canada data result = analyze_bridge_conditions(region="Saskatchewan") # Returns: Very Poor: 2.4%, Poor: 16.4%, Fair: 23.7%, Good: 32.4%, Very Good: 10.1%

Get Infrastructure Costs

# Get bridge replacement costs for Ontario result = get_infrastructure_costs(infrastructure_type="bridge", location="Ontario") # Returns: Total $81.4B, Priority investment needed: $2.65B (Poor + Very Poor)

Query Bridges

# Get bridge data with StatCan condition distribution result = query_bridges(province="Ontario", limit=100) # Returns condition summary + detailed records from provincial sources

Project Structure

gov_mcp/ ├── gov_mcp/ # Dataset Discovery MCP │ ├── __init__.py │ ├── server.py # MCP server │ ├── api_client.py # API wrapper │ ├── http_client.py # HTTP client │ ├── types.py # Type definitions │ └── Dockerfile # Docker build for this server ├── gov_ca_transportation/ # Transportation MCP │ ├── __init__.py │ ├── server.py # MCP server │ ├── api_client.py # StatCan + provincial data fetcher │ ├── http_client.py # HTTP client │ ├── types.py # Type definitions │ └── Dockerfile # Docker build for this server ├── tests/ # Test files ├── documentation/ # Additional docs ├── docker-compose.yml # Docker Compose for all servers ├── .dockerignore # Docker ignore file ├── pyproject.toml # Project config ├── requirements.txt # Dependencies └── README.md # This file

Configuration

VS Code MCP Settings

Add to your VS Code settings.json or MCP config:

{ "mcpServers": { "gov-ca-dataset": { "command": "python", "args": ["-m", "gov_mcp.server"], "cwd": "/path/to/gov_mcp" }, "gov-ca-transportation": { "command": "python", "args": ["-m", "gov_ca_transportation.server"], "cwd": "/path/to/gov_mcp" } } }

Development

Running Tests

pytest tests/

Running Validation

python validate.py

Key Capabilities

  • 250,000+ datasets searchable from Open Government Canada

  • Statistics Canada integration for authoritative national infrastructure data

  • All provinces covered for bridge conditions and infrastructure costs

  • Real infrastructure data from provincial/municipal open data portals

  • Multiple data formats: GeoJSON, CSV, ZIP (StatCan)

  • Condition analysis: Bridge condition percentages, replacement costs by condition

  • Geographic filtering: By province or national aggregate

API Sources

Source

Data Types

Statistics Canada

Infrastructure costs, bridge conditions (national)

open.canada.ca

Federal datasets

donnees.montreal.ca

Montreal bridge records

data.ontario.ca

Ontario bridge records

openmaps.gov.bc.ca

BC airports, railways

data.novascotia.ca

Nova Scotia structures

donneesquebec.ca

Quebec airports

License

MIT License - See LICENSE file for details

Contributing

Contributions are welcome! Please:

  1. Fork the repository

  2. Create a feature branch

  3. Add tests for new functionality

  4. Submit a pull request

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

Resources

New MCP Servers

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/krunal16-c/gov-ca-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server