Government of Canada Open Data MCP Servers

Government of Canada Open Data MCP Servers

Provides access to 250,000+ Canadian government datasets and specialized querying of transportation infrastructure including bridges, airports, cycling networks, transit systems, railways, and tunnels across multiple provinces.

Category
访问服务器

README

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

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
├── 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
├── tests/                      # Test files
├── documentation/              # Additional docs
├── 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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选