NumPy MCP Server

@colesmcintosh

About NumPy MCP Server

A Model Context Protocol (MCP) server for numerical computations with NumPy

#mathgpt #math-solver #math-assistant

Basic information

Category

Other

Runtime

python

Transports

stdio

Publisher

colesmcintosh

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "numpy-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is NumPy MCP Server?

NumPy MCP Server is a Model Context Protocol (MCP) server that exposes mathematical calculations and operations using NumPy. It provides basic arithmetic, linear algebra, statistical analysis, and polynomial fitting through a standardized MCP interface for use with Claude or other MCP-compatible LLMs.

How to use NumPy MCP Server?

Install the server in Claude Desktop with mcp install server.py --name "NumPy Calculator", or clone the repository and set up manually using UV. Once installed, ask Claude to perform operations like "Calculate the eigenvalues of matrix [[1, 2], [3, 4]]" or "Find the mean and standard deviation of [1, 2, 3, 4, 5]". For development testing, use mcp dev server.py.

Key features of NumPy MCP Server

Basic arithmetic: addition of two integers
Linear algebra: matrix multiplication and eigendecomposition
Statistical analysis: mean, median, standard deviation, min, max
Polynomial fitting of specified degree to data points
Exposes functions through a standardized MCP interface

Use cases of NumPy MCP Server

Compute eigenvalues and eigenvectors of a square matrix
Calculate mean and standard deviation for a dataset
Multiply two matrices and get the result
Fit a polynomial curve to given x, y data points
Add two integers via an LLM conversation

FAQ from NumPy MCP Server

What mathematical functions does it provide?

It offers addition, matrix multiplication, eigendecomposition, statistical analysis (mean, median, std, min, max), and polynomial fitting.

What are the dependencies?

The server requires NumPy for numerical computations and FastMCP for the MCP server implementation.

How do I install NumPy MCP Server in Claude Desktop?

Run mcp install server.py --name "NumPy Calculator" in your terminal. The server will then appear in Claude Desktop under "NumPy Calculator".

Is this project open source?

Yes, it is licensed under the MIT License.

What kind of data does the server accept?

It accepts numerical data: integers for addition, lists of floats for statistics, and nested lists for matrix operations.

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