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neoforge-kb-mcp

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Python
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neoforge-kb-mcp

Tech 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

Works Well with:

Getting Started

Documentation

License

This code is distributed under the terms and conditions of the MIT License

Spudmash Media [-] 2026

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Maintenance

ActivityInactive
ResponsivenessNo issues

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