@quanticsoul4772
基本信息
Analytical MCP Server: Enhancing AI with Structured Problem-Solving Tools
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"analytical-mcp": {
"command": "node",
"args": [
"examples/advanced_nlp_demo.js"
]
}
}
}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。
A Model Context Protocol server exposing 12 analytical tools for Claude, including descriptive statistics, regression (linear/polynomial/logistic/multivariate), hypothesis testing, data preprocessing, data visualization, multi-criteria decision analysis, ML model evaluation, logical argument/fallacy analysis, and Exa-backed research verification. It runs over stdio; the analytical core needs no API key, but research features require an EXA_API_KEY.
Install Node.js >=20.0.0, clone the repository, run npm install and npm run build, then configure Claude Desktop to launch the server with the EXA_API_KEY environment variable. Alternatively, use Docker with the docker run command and an .env file. Add the server to Claude Desktop’s mcpServers configuration with the appropriate command and args.
No. The analytical core (statistics, regression, hypothesis testing, etc.) works without any API key. Only the `verify_research` and `perspective_shifter` tools require an `EXA_API_KEY` and will error at call time if it is missing.
The tool will error at call time. The tools are registered unconditionally, but they fail gracefully if the key is absent.
Set `METRICS_ENABLED=true` as an environment variable. The metrics server exposes Prometheus-style metrics, JSON metrics, and a health endpoint on port 9090 by default (configurable via `METRICS_PORT` and `METRICS_HOST`).
Node.js >=20.0.0 is required. For Docker, any recent Docker installation works. The `EXA_API_KEY` environment variable is only needed for research features.
Yes. The tool now requires a `scores` matrix (options × criteria, values 0–10) in addition to `options` and `criteria`. `weights` is optional and defaults to equal weighting.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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