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-mcp How 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 Knowledge Base Document Ingest + MCP Server
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
Works Well with:
This code is distributed under the terms and conditions of the MIT License
Spudmash Media [-] 2026
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Augments MCP Server - A comprehensive framework documentation provider for Claude Code
An MCP server that gives your AI access to the source code and docs of all public github repos
MCP server for doc2mcp documentation, generated by doc2mcp.
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