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A MCP server for Godot RAG

@weekitmo

基本信息

分类

记忆与知识

许可证

MIT

传输方式

stdio

作者

weekitmo

关于 A MCP server for Godot RAG

This MCP server is used to provide Godot documentation to the Godot RAG model.

A MCP server for Godot RAG 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_godot_rag": {
      "command": "uv",
      "args": [
        "venv",
        "--python",
        "3.12"
      ]
    }
  }
}

A MCP server for Godot RAG 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Godot RAG?

Godot RAG is an MCP server that provides Godot documentation to a Godot RAG (Retrieval-Augmented Generation) model. It is intended for developers using AI assistants to access Godot documentation.

How to use Godot RAG?

Configure the MCP client with the server command python and arguments pointing to main.py, the chroma_db path (-d), and the collection name (-c). Run the setup steps: clone Godot docs, convert RST to Markdown, chunk the files, create a vector database, then start the server.

Key features of Godot RAG

  • Retrieves Godot documentation for RAG models.
  • Uses ChromaDB as vector store.
  • Supports multiple sentence transformer models.
  • Provides setup scripts for document ingestion.

Use cases of Godot RAG

  • Enhance AI coding assistants with Godot documentation.
  • Build a custom Q&A bot for Godot engine queries.
  • Provide context-aware answers during game development.

常见问题

1

What models does Godot RAG support?

It supports all-MiniLM-L6-v2, bge-m3, and bge-large-zh-v1.5 sentence transformer models.

2

How do I set up the vector database?

Run `python download_godot_docs.py`, then `convert_rst2md.py`, then `chunker.py`, then `vectorizer.py` with the appropriate arguments.

3

What are the runtime requirements?

The server requires Python 3.12, uv for virtual environment, and dependencies from `uv sync`.

4

Where is the vector data stored?

The chroma_db is stored at a path specified by the `-d` argument when starting the server.

5

How do I debug the server?

Use `npx @modelcontextprotocol/inspector` with the `uv run main.py` command and the chromadb path and collection name arguments.

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