# math-mcp-lab

> math-mcp-lab — matiasn2008-math-mcp-lab. Use this tool when you need to perform basic mathematical operations, such as sum, subtraction, multiplication, and division, in a layered architecture with optional AI integration. It solves problems requiring straightforward calculations and data processing, providing inputs as numerical values and outputs as calculated results. Ideal for use cases involving simple arithmetic, data analysis, or machine learning model development.

Canonical page: https://skillsregistry.net/skills/matiasn2008-math-mcp-lab  
JSON: https://api.skillsregistry.net/v1/skills/matiasn2008-math-mcp-lab

## Description

MCP server exposing pure mathematical operations (sum, subtraction, multiplication, division) as tools, with a clean layered architecture and optional OpenAI Agents SDK integration.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f6ujjmuxgq)
- **Repository:** <https://github.com/matiasn2008/math-mcp-lab>

## 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": "matiasn2008-math-mcp-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/matiasn2008-math-mcp-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/matiasn2008-math-mcp-lab/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