What is the nosia MCP server?

dilolabs/nosia — Self-hosted AI RAG + MCP Platform AgentRank score: 60.2/100.

Is the nosia MCP server actively maintained?

The nosia MCP server was last committed 2mo ago and has 6 contributors. Issue health: 43% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

nosia MCP Server

Name: dilolabs/nosia
Rating: 3.4 (1 reviews)
Author: dilolabs

dilolabs/nosia

Score: 60.2 Rank #6238 Search & RAG

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Overview

dilolabs/nosia is a Ruby tool licensed under MIT. Self-hosted AI RAG + MCP Platform Topics: ai, all-in-one, docker, llm, rag, ruby, ruby-on-rails, shell, embedding, mcp.

Ranked #6238 out of 24846 indexed tools.

Ecosystem

Ruby MIT

aiall-in-onedockerllmragrubyruby-on-railsshellembeddingmcp

Score Breakdown

Stars 15% 214

214 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 43%

17/40 issues closed → many open issues

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 20

Description Brief

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 63 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 23 open vs 17 closed issues — triaging stale issues improves health

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Markdown

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HTML

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HTML

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Details

Stars: 214
Forks: 20
Open Issues: 23
Closed Issues: 17
Contributors: 6
Dependents: —
Language: Ruby
License: MIT
Last Commit: 2mo ago

Matched Queries

topic:mcp

From the README

# Nosia

**Self-hosted AI RAG + MCP Platform**

Nosia is a platform that allows you to run AI models on your own data with complete privacy and control. Beyond traditional RAG capabilities, Nosia integrates the Model Context Protocol (MCP) to connect AI models with external tools, services, and data sources. It is designed to be easy to install and use, providing OpenAI-compatible APIs that work seamlessly with existing AI applications.

## Features

- **🔒 Private & Secure** - Your data stays on your infrastructure
- **🤖 OpenAI-Compatible API** - Drop-in replacement for OpenAI clients
- **📚 RAG-Powered** - Augment AI responses with your documents
- **🔌 MCP Integration** - Connect AI to external tools and services via Model Context Protocol
- **🤖 Agent Skills** - Extend chat with custom LLM-driven and Ruby-based skills
- **🔄 Real-time Streaming** - Server-sent events for live responses
- **📄 Multi-format Support** - PDFs, text files, websites, and Q&A pairs
- **🎯 Semantic Search

Read full README on GitHub →