datakeel
Datakeel is a local-first workbench for data and AI datasets that keeps an audit trail: it supports review of multimodal evidence, answers metric questions with traceable SQL, and prepares agent actions that a person must approve.
このサーバーについて
Datakeel is a local-first workbench for data and AI datasets that keeps an audit trail: it supports review of multimodal evidence, answers metric questions with traceable SQL, and prepares agent actions that a person must approve. Its MCP server, started with uv, runs over stdio or as a loopback-only SSE server and, by the README's count, offers 102 tools: 37 that read and 65 that prepare plans. Approving or running a plan through MCP is refused and logged; that can only happen in the web interface or the CLI. The MCP setup needs only a data directory path. Language model keys are optional, and without them an offline demo provider is used.
できること
- Answer metric questions with traceable SQL
- Review multimodal dataset evidence
- Prepare change plans that a person approves outside MCP
インストール
- すべてのクライアントに追加するには、次のコマンドを実行します：
uv run datakeel mcp
出典
- GitHubリポジトリgithub.com/chaw1/datakeel · 根拠となる項目：AIクライアント, データの変更, 接続方式, ライセンス, APIキーまたはサインインが必要, 公開元, 活動状況2026年11月15日
- GitHub APIのレコードgithub.com/chaw1/datakeel2026年11月15日