datagouv-mcp vs QuantDinger
datagouv-mcp: The data.gouv.fr MCP Server enables AI chatbots to directly interact with and analyze datasets from the French national Open Data platform, data.gouv.fr, through conversational queries. It provides tools for searching datasets, querying resource data, and fetching OpenAPI specifications for dataservices, integrating seamlessly with various AI clients like ChatGPT, Claude, Gemini, and Cursor.; QuantDinger: QuantDinger is an open-source AI Trading OS designed for independent traders and Python strategy authors. It provides a self-hosted stack to transform trading ideas into Python strategies, covering the full lifecycle from backtesting to live execution and monitoring.
TL;DR
AI chatbots answering user questions about French public datasets.
- You write Python strategies and want research, backtests, paper trading, live execution and monitoring in one self-hosted stack.
- Broker credentials, strategy code and market data must stay under your control.
- You want several access paths: web, mobile H5, API, an Agent Gateway and MCP.
- You want a small script: v5 runs separate workers, PostgreSQL and two Redis instances.
- You only want an assistant to look up quotes: a single MCP server is far lighter.
- You would enable live trading before testing on paper with restricted API keys.
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