# Math

> Use this tool when you need to perform precise numerical computations, such as arithmetic operations or statistical calculations, within AI-assisted applications. It solves problems requiring accurate math functions, like rounding and statistical analysis, and provides a simple API for inputting mathematical expressions and outputting calculated results. It is ideal for use cases where Large Language Models (LLMs) need to process numerical data accurately.

Canonical page: https://skillsregistry.net/skills/ethanhenrickson-math  
JSON: https://api.skillsregistry.net/v1/skills/ethanhenrickson-math

## Description

This MCP server provides basic mathematical and statistical functions to Large Language Models (LLMs). Developed by EthanHenrickson, it offers capabilities such as arithmetic operations, statistical calculations, and rounding functions. The server is designed for use cases requiring accurate numerical computations within AI-assisted applications, enabling LLMs to perform precise calculations through a simple API.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ethanhenrickson-math)
- **Repository:** <https://github.com/ethanhenrickson/math-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": "ethanhenrickson-math"
    }
  }
}
```

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