# MAGMA Handbook AI Assistant

> Use this tool when you need to efficiently retrieve categorized code examples, detailed explanations, and filtered documentation for the MAGMA computational algebra system. It solves problems of tedious manual searches and provides contextual understanding of MAGMA handbook content through semantic search and vector-powered similarity search. Ideal for research, learning, and development workflows, it takes in specific queries and returns relevant code examples and documentation.

Canonical page: https://skillsregistry.net/skills/legenai-mcp-magma-handbook  
JSON: https://api.skillsregistry.net/v1/skills/legenai-mcp-magma-handbook

## Description

Provide AI assistants with comprehensive, semantic search and contextual understanding of the MAGMA computational algebra system handbook. Enable users to retrieve categorized code examples, detailed code explanations, and filtered documentation efficiently. Enhance research, learning, and development workflows with fast, vector-powered similarity search tailored for MAGMA syntax and concepts.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/LeGenAI/mcp-magma-handbook)
- **Repository:** <https://github.com/LeGenAI/mcp-magma-handbook#readme>

## 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": "legenai-mcp-magma-handbook"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/legenai-mcp-magma-handbook` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/legenai-mcp-magma-handbook/pull`

---
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
