Overview
rag-mcp Introduction
rag-mcp is a Model Context Protocol (MCP) tool designed specifically for retrieving relevant information about the Godot game engine from a local ChromaDB database. It can be adapted for use with other Chroma databases with minor modifications.
How to Use
To use rag-mcp, prepare the ChromaDB vector store using the web2embeddings tool, download or clone the repository, and configure the MCP server in Visual Studio Code Insiders by editing the settings.json file according to the provided instructions.
Key Features
Key features of rag-mcp include its ability to interface with ChromaDB, support for the Godot game engine, and the flexibility to adapt for other databases. It also provides a straightforward configuration process through Visual Studio Code Insiders.
Where to Use
rag-mcp is primarily used in game development, particularly for projects utilizing the Godot game engine. It can also be applied in any context where ChromaDB is utilized for data retrieval.
Use Cases
Use cases for rag-mcp include developing Godot-based games that require efficient information retrieval from a ChromaDB, creating tools for game developers to access relevant data quickly, and enhancing game features by integrating contextual information.
Content
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semantic-kernel
Context 7
repomix
Github MCP
