What programming language and runtime does it require?
The server uses Python. Setup instructions assume the `uv` package manager is installed.
@disler
基本情報
Prompt focused MCP Server for .json and .csv agentic data analytics for Claude Code
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": {
"quick-data-mcp": {
"command": "uv",
"args": [
"run",
"python",
"main.py"
]
}
}
}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。
MCP From Zero: Quick Data is a Model Context Protocol (MCP) server that enables AI agents to perform arbitrary data analysis on .json and .csv files. It serves as a concrete use case within the "MCP From Zero" learning framework, demonstrating how to combine tools, resources, and prompts into reusable agentic workflows (ADWs).
Navigate to the quick-data-mcp/ directory, copy the sample configuration (.mcp.json.sample to .mcp.json), and update the --directory path to your absolute path. Test the server by running uv run python main.py. Configure your MCP client to point to this server.
The server uses Python. Setup instructions assume the `uv` package manager is installed.
Copy `.mcp.json.sample` to `.mcp.json`, edit the `--directory` path to your absolute server path, then reference that file in your client’s MCP configuration.
The README does not specify the transport; typically MCP servers use stdio or SSE. Check the server’s source code for details.
The server is configured with a directory argument. It likely only accesses files within that path, but no explicit restriction is documented.
No authentication mechanism is mentioned in the README.
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