# io.github.daedalus/mcp-numpy

> Use this tool when you need to leverage NumPy functionality remotely, enabling efficient numerical computations and data analysis. It solves problems related to distributed computing, data science, and machine learning by providing a server-based interface to NumPy. With input support for various data types and outputting computed results, use it in contexts where scalable and remote numerical processing is required.

Canonical page: https://skillsregistry.net/skills/io-github-daedalus-mcp-numpy  
JSON: https://api.skillsregistry.net/v1/skills/io-github-daedalus-mcp-numpy

## Description

An MCP server that exposes NumPy functionality

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.daedalus%2Fmcp-numpy)
- **Repository:** <https://github.com/daedalus/mcp-numpy>

## 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": "io-github-daedalus-mcp-numpy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-daedalus-mcp-numpy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-daedalus-mcp-numpy/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt