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Toronto Open Data MCP Server

@vduquette

代码仓库

关于 Toronto Open Data MCP Server

暂无概览

#toronto-open-data#data-query#open-data

基本信息

分类

数据与分析

许可证

MIT license

运行时

python

传输方式

stdio

发布者

vduquette

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"
      ]
    }
  }
}

工具

未检测到工具

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

评论

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