What data does Feyod MCP Server query?
It queries Feyenoord Open Data from a SQLite database maintained in the [feyod GitHub repository](https://github.com/jeroenvdmeer/feyod).
@jeroenvdmeer
基本信息
Model Content Protocol (MCP) server for querying Feyenoord football match data using natural language.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"feyod-mcp": {
"command": "docker",
"args": [
"pull",
"jeroenvdmeer/feyod-mcp"
]
}
}
}Converts a natural language query about Feyenoord matches into a SQL query, executes it, and returns the SQL query and its result.
A FastMCP-based Model Context Protocol (MCP) server for querying Feyenoord football match data using natural language. It is compatible with Claude Desktop and other MCP clients, and is publicly available at https://mcp.feyod.nl/mcp.
Connect via any MCP-compatible client to the public endpoint, or run the server locally using Docker (jeroenvdmeer/feyod-mcp) or Python with provided setup. The exposed tool is query_feyod_database, which converts a natural language query into SQL and returns results.
It queries Feyenoord Open Data from a SQLite database maintained in the [feyod GitHub repository](https://github.com/jeroenvdmeer/feyod).
Python 3.10+, MCP Python SDK, LangChain, a SQLite database, and an API key for the chosen LLM provider (e.g., OpenAI, Google).
Set `LLM_PROVIDER` and `LLM_API_KEY` in the `.env` file, install the corresponding LangChain package (e.g., `langchain-google-genai`), and ensure the provider is defined in `llm_factory.py`.
No. The initiative is not affiliated with Feyenoord Rotterdam N.V. and is not an official Feyenoord product.
The database is built from the SQL file in the feyod repository. You must obtain the latest `feyod.sql` file and create `feyod.db` locally, or use the database included in the Docker image.

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