# NumPy

> Use this tool when you need to perform advanced numerical computations, data analysis, and linear algebra operations in Python environments. It solves problems related to matrix operations, statistical analysis, and data fitting, providing inputs such as numerical data and outputs like computed results and statistical measures. Ideal for AI assistants requiring efficient mathematical operations, NumPy offers a range of functions for tasks like matrix multiplication and polynomial fitting.

Canonical page: https://skillsregistry.net/skills/colesmcintosh-numpy  
JSON: https://api.skillsregistry.net/v1/skills/colesmcintosh-numpy

## Description

This MCP server implementation provides NumPy-based mathematical operations and statistical analysis tools. It offers functions for matrix multiplication, eigendecomposition, polynomial fitting, and basic statistical measures. Developed using FastMCP, it's designed for AI assistants requiring advanced numerical computations, data analysis, and linear algebra operations in Python environments.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/colesmcintosh-numpy)
- **Repository:** <https://github.com/colesmcintosh/numpy-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "colesmcintosh-numpy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/colesmcintosh-numpy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/colesmcintosh-numpy/pull`

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