Ontario Data Catalogue MCP Server
Provides access to Ontario open government data through the CKAN API, enabling dataset search, organization browsing, and resource data queries.
README
Ontario Data Catalogue MCP Server
A comprehensive Model Context Protocol (MCP) server for the Ontario Data Catalogue, built with FastMCP. This server provides access to the Ontario Data Catalogue through CKAN API endpoints, enabling AI assistants to access open government data.
📊 Features
This MCP server provides access to the Ontario Data Catalogue API including:
Dataset Search and Discovery
- Search datasets by keywords and filters
- Get detailed dataset information and metadata
- List datasets with customizable filtering options
- Search by specific tags or categories
Organization and Taxonomy
- List all organizations publishing datasets
- Browse available tags and categories
- Explore dataset groups and classifications
Resource Data Access
- Access resource data through the datastore API
- Search within resource data
- Apply filters to resource queries
🚀 Installation
- Clone or download this repository
- Install the required dependencies:
pip install -r requirements.txt
Dependencies:
fastmcp>=2.8.0- FastMCP framework for MCP server creationrequests>=2.31.0- HTTP library for API callstyping-extensions- Enhanced type hints support
📖 Usage
Running the Server
Start the MCP server:
python ont_data_mcp_server.py
The server will start and listen for MCP connections.
MCP Client Configuration
Add this server to your MCP client configuration (e.g., Claude Desktop):
{
"mcpServers": {
"ont-data": {
"command": "python",
"args": ["/path/to/ont_data_mcp_server.py"],
"env": {
"ONTARIO_DATA_API_KEY": ""
}
}
}
}
If you're using Claude in the browser, you can add this configuration in the MCP settings panel.
For Windsurf, add this to your ~/.config/windsurf/mcp_config.json file.
API Reference
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.