A
licenseB
qualityA
maintenanceMCP Unity Server to integrate Unity Editor game engine with different AI Model clients (e.g. Claude Desktop, Windsurf, Cursor)
5
6 npm
1,910
MIT
unity-kb-mcp
Provides RAG capabilities to surface the latest Unity API documentation, allowing AI agents to query Unity documentation programmatically.
Click on "Deploy 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., "@unity-kb-mcpHow do I use Vector3.Lerp in Unity 6?"
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.
unity-kb-mcp
Unity Knowledge Base Document Ingest + MCP Server
Summary
An MCP Server that provides Retrieval-Augmented Generation (RAG) capabilities to surface the latest Unity API documentation (currently v6.x). It is designed specifically for local usage with:
Inference Engines (LM Studio, Ollama UI etc...)
LLM Harnesses (OpenCode, ClaudeCode etc...)
Docker Services Include:
MCP Server: built with FastMCP library.
Vector Database Server: ChromaDB instance with Unity API Knowledge Base
Ingest Pipeline: Python data ingest reading HTML + Markdown documentation and writing to ChromaDB
LLM Inference Engine Server: Ollama instance using Qwen3-embedding:0.6b embedding model
Getting Started
Documentation
License
This code is distributed under the terms and conditions of the MIT License
Spudmash Media [-] 2026
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
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