minima MCP Server
Minima-AI-Inc/minima
[](https://agentrank-ai.com/tool/Minima-AI-Inc--minima/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) On-premises conversational RAG with configurable containers
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Minima-AI-Inc/minima is a Python tool licensed under MPL-2.0. On-premises conversational RAG with configurable containers Topics: claude, custom-gpts, docker, docker-compose, langchain, mcp, model-context-protocol, ollama, sentence-transformers, ai, huggingface, qdrant.
Ranked #10892 out of 24846 indexed tools.
Has 1,054 GitHub stars.
Has 11 contributors.
Ecosystem
Score Breakdown
1,054 stars → well-known project
Last commit 9mo ago → stale
10/24 issues closed → many open issues
11 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
<p align="center"> <a href="https://mnma.ai/" target="blank"></a> </p> **Minima** is an open source RAG on-premises containers, with ability to integrate with ChatGPT and MCP. Minima can also be used as a fully local RAG or with your own deployed LLM. Minima currently supports four modes: 1. **Isolated installation (Ollama)** – Operate fully on-premises with containers, free from external dependencies such as ChatGPT or Claude. All neural networks (LLM, reranker, embedding) run on your cloud or PC, ensuring your data remains secure. 2. **Custom LLM (OpenAI-compatible API)** – Use your own deployed LLM with OpenAI-compatible API (vLLM, Ollama server, TGI, etc.). The indexer runs locally while the LLM can be on your server, cloud, or local machine. No Ollama deployment needed, lighter resource usage, and full control over your LLM infrastructure. 3. **Custom GPT** – Query your local documents using ChatGPT app or web with custom GPTs. The indexer runs on your cloud or local PC, whiRead full README on GitHub →
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