Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Godot RAG MCP Serverhow do I move a CharacterBody2D using move_and_slide in Godot 4?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A MCP server for Godot RAG
This MCP server is used to provide Godot documentation to the Godot RAG model.
Screenshot
Before using

After using

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.localInitiation 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-v2Use Another Model
Other
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