- Toronto Open Data MCP Server
Toronto Open Data MCP Server
Overview
What is Toronto Open Data MCP Server?
The Toronto Open Data MCP Server is an MCP (Model Context Protocol) server that provides direct access to Toronto's Open Data through the CKAN API, enabling efficient discovery, exploration, and querying of over 500 public datasets.
How to use Toronto Open Data MCP Server?
To use the server, clone the repository, install the dependencies, and run the server. You can then utilize the primary tool toronto_find_and_query_data(user_question) to find and process relevant data based on your queries.
Key features of Toronto Open Data MCP Server?
- Intelligent Query Engine for automatic data retrieval
- Relevance Scoring to rank datasets by relevance
- Smart Filtering based on question context
- Adaptive Data Processing for real-time and CSV data
- Agent-Optimized for LLM agents with minimal complexity
- Robust Deployment ready for cloud environments
Use cases of Toronto Open Data MCP Server?
- Querying recent health inspection failures of restaurants.
- Accessing traffic signal locations and timings.
- Exploring public parks and recreation facilities data.
- Analyzing business licenses in Toronto.
- Retrieving construction and renovation permit data.
FAQ from Toronto Open Data MCP Server?
- What types of data can I access?
You can access a variety of datasets including health inspections, traffic signals, parks, business licenses, and building permits.
- Is there a cost to use the server?
No, the Toronto Open Data MCP Server is free to use.
- Can I run tests on the server?
Yes, the project includes comprehensive tests for unit, integration, and workflow scenarios.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
vduquetteStar
0Language
PythonLicense
MIT licenseCategory
research-and-data
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