Toronto Open Data MCP Server
@vduquette
About Toronto Open Data MCP Server
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"toronto-open-data-mcp-server": {
"command": "python",
"args": [
"main.py"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Toronto Open Data MCP Server?
An MCP (Model Context Protocol) server that provides direct access to Toronto's Open Data through the CKAN API. It allows LLM agents to efficiently discover, explore, and query Toronto's 500+ public datasets.
How to use Toronto Open Data MCP Server?
Clone the repository, install dependencies with pip install -e ., then run python main.py. The primary tool is toronto_find_and_query_data(user_question), a one-step solution that finds and processes the most relevant data. Alternative tools include toronto_start_here(), toronto_search_datasets(query), and toronto_smart_data_helper(dataset_id, user_question).
Key features of Toronto Open Data MCP Server
- Intelligent Query Engine that automatically finds and returns relevant data.
- Relevance scoring to rank datasets by question relevance.
- Smart filtering based on context (recent data, failures, locations).
- Adaptive data processing for real‑time API and CSV data.
- Agent‑optimized design for minimal LLM decision complexity.
- Robust deployment ready with health checks for Railway/cloud.
Use cases of Toronto Open Data MCP Server
- Ask natural language questions like “What
Basic information
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