neoforge-kb-mcp
Integrates with Ollama to provide local inference capabilities for embedding generation and LLM queries, enabling offline RAG functionality.
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., "@neoforge-kb-mcpHow do I register a custom block in Neoforge?"
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.
neoforge-kb-mcp
Neoforge Knowledge Base Document Ingest + MCP Server
Summary
An MCP Server that provides Retrieval-Augmented Generation (RAG) capabilities to surface the latest Neoforge Mod API documentation (currently v1.21.11). 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 Neoforge Mod 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 installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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