# Unreal Python API RAG MCP Server

> Unreal Python API RAG MCP Server — stanlink-games-unreal-python-api-rag. Use this tool when you need to access Unreal Engine Python API documentation and retrieve real signatures for efficient code writing. It solves problems of manual documentation lookup and code signature guessing, enabling AI agents to generate accurate code. The tool takes API queries as input and returns relevant documentation and signatures as output, ideal for use cases involving automated code generation and development within the Unreal Engine ecosystem.

Canonical page: https://skillsregistry.net/skills/stanlink-games-unreal-python-api-rag  
JSON: https://api.skillsregistry.net/v1/skills/stanlink-games-unreal-python-api-rag

## Description

Provides a retrieval/MCP knowledge server for the Unreal Engine Python API, enabling AI agents to retrieve real signatures and documentation before writing code.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t2nnznpd60)
- **Repository:** <https://github.com/stanlink-games/unreal-python-api-rag>

## 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": "stanlink-games-unreal-python-api-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stanlink-games-unreal-python-api-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stanlink-games-unreal-python-api-rag/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