What programming language and runtime does it require?
The server uses Python. Setup instructions assume the `uv` package manager is installed.
@disler
基本信息
Prompt focused MCP Server for .json and .csv agentic data analytics for Claude Code
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"quick-data-mcp": {
"command": "uv",
"args": [
"run",
"python",
"main.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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