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MCP Server for Godot RAG

by weekitmo

Development/DocumentationGodotRAGDocumentationVector Database

This MCP server provides Godot documentation to a Godot RAG model. It enables users to query Godot documentation using a Retrieval-Augmented Generation approach.

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Last updated: N/A

A MCP server for Godot RAG

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

Screenshot

Before using

before

before

After using

after

after

MCP server config

{
  "mcpServers": {
    "godot-rag": {
      "command": "python",
      "args": [
        "<path to the server script 'main.py'>",
        "-d",
        "<path to the chroma_db on your computer>",
        "-c",
        "<name of the collection in the chroma_db>"
      ]
    }
  }
}

Setup

uv venv --python 3.12
source ./.venv/bin/activate
uv sync
cp .env.example .env.local

Initiation steps

# clone godot docs
python download_godot_docs.py
# convert rst to markdown
python convert_rst2md.py
# chunk markdown files
python chunker.py -i artifacts
# create vector database
python vectorizer.py -i artifacts/chunks/artifacts_chunks_SZ_400_O_20.jsonl
# python vectorizer_api.py -i artifacts/chunks/artifacts_chunks_SZ_400_O_20.jsonl -m BAAI/bge-m3
# start mcp server
python main.py -d artifacts/vector_stores/chroma_db -c artifacts_chunks_SZ_400_O_20_all-MiniLM-L6-v2
# python main_with_api.py -d artifacts/vector_stores/chroma_db -c artifacts_chunks_SZ_400_O_20_BAAI-bge-m3 -k <your openai api key>

Debug

npx @modelcontextprotocol/inspector \
  uv \
  --directory . \
  run \
  main.py \
  --chromadb-path artifacts/vector_stores/chroma_db \
  --collection-name artifacts_chunks_SZ_400_O_20_all-MiniLM-L6-v2

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