Advertise
MCP.so
Sign In

NumPy MCP Server

@colesmcintosh

Repository

Basic information

Category

Other

Transports

stdio

Author

colesmcintosh

About NumPy MCP Server

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

#mathgpt#math-solver#math-assistant

NumPy MCP Server config

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

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

NumPy MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Frequently asked questions

1

What mathematical functions does it provide?

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

2

What are the dependencies?

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

3

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".

4

Is this project open source?

Yes, it is licensed under the MIT License.

5

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.

Comments

More Other MCP servers

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

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,

16.7K

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K
Advertise