@grapatin
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"eventor-mcp-server": {
"command": "uv",
"args": [
"venv",
".venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Eventor API Client is a Python client for integrating with the Eventor orienteering API. It provides access to events, entries, and results and includes an MCP (Model Context Protocol) server integration so AI assistants can query orienteering data.
Clone the repository, set up a virtual environment with uv, install dependencies from requirements.txt, and copy the example config file to eventor_config.py. Edit that file with your actual API key and personId. To test, run python -m eventor in debug mode, which produces a JSON file. For use with Claude, add an MCP server entry to claude_desktop_config.json pointing uv at the project directory and running mcp_server.py.
It exposes three tools: `get_weekly_club_results()` for weekly club results, `get_personal_events()` for personal events by personId and period, and `get_detailed_result_for_event_and_person()` for detailed results for one event and person.
Copy `eventor_config_example.py` to `eventor_config.py`, then edit that file with your Eventor API private key (obtained from your organisation’s Eventor admin) and your own personId, which can be found in the output JSON file.
Run the client in debug mode using `python -m eventor`. It will run standalone and produce a JSON file with the results for manual review.
The project uses Python with `uv` for virtual environment and package management. Dependencies are listed in `requirements.txt`.
The client fetches data live from the Eventor orienteering API and optionally caches responses locally to reduce API calls.
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