Toronto Open Data MCP Server
@vduquette
基本信息
关于 Toronto Open Data MCP Server
暂无概览
Toronto Open Data MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"toronto-open-data-mcp-server": {
"command": "python",
"args": [
"main.py"
]
}
}
}Toronto Open Data MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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
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