numpy-mcp
用于数值计算的NumPy MCP服务器. numpy-mcp is a Model Context Protocol (MCP) server maintained by colesmcintosh. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 5 tools, including add, matrix_multiply, eigen_decomposition, statistical_analysis and polynomial_fit, that an agent can call directly. It is categorized under Tool/Python and AI/Integration.
什么是这个MCP
这是一个基于NumPy的模型上下文协议(MCP)服务器，提供数学计算和运算功能。它通过标准化的MCP接口暴露各种数值计算工具，以便与Claude等大型语言模型集成使用。
如何使用这个MCP
可通过Claude Desktop使用mcp install server.py命令安装，或手动通过UV/Python安装。安装后可通过Claude或直接使用MCP命令访问服务器执行数学运算。
这个MCP的用途
通过LLM交互或直接API调用执行数值计算，包括基础算术、线性代数、统计分析和多项式拟合等运算。
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the numpy-mcp MCP server?
numpy-mcp is a Model Context Protocol server from colesmcintosh. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect numpy-mcp to my AI client?
Add numpy-mcp to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does numpy-mcp provide?
numpy-mcp provides 5 tools: add, matrix_multiply, eigen_decomposition, statistical_analysis and polynomial_fit.
Is numpy-mcp free to use?
numpy-mcp is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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