numpy-mcp
NumPy MCP server for numerical computations. 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.
What is this MCP
This is a Model Context Protocol (MCP) server that provides mathematical calculations and operations using NumPy. It exposes various numerical computation tools through a standardized MCP interface for integration with LLMs like Claude.
How to use this MCP
Install via Claude Desktop withmcp install server.py or manually using UV/Python. The server can then be accessed through Claude or directly via MCP commands to perform mathematical operations.
What this MCP can be used for
Performing numerical computations including basic arithmetic, linear algebra, statistical analysis, and polynomial fitting through LLM interactions or direct API calls.
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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