louloulin
MCP Serverlouloulinpublic

lumos chat

lumosai chatbox

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TypeScript
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Other
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About This Server

lumosai chatbox

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Logo

A Sleek AI Assistant & MCP Client

 



OpenAI / Azure / Anthropic / Google / Baidu / Mistral / Moonshot / Doubao / Grok / DeepSeek / Ollama

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Before to activating tools feature, ensure the following components are installed:

  • Python
  • Node.js
  • uv (Python package manager)

These components are required as they constitute the runtime environment for the MCP Server. If you don't anticipate using the tools feature immediately, you may choose to skip this installation step and complete it later when the need arises.

For detailed installation instructions, please see our Installation Guide.

Dev Guide

If you want to contribute code to lumos-chat or develop your own apps based on lumos-chat, start with the Development Setup Guide.


Features

⚒️ Support Tools via MCP Servers

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

With tools, you can access the file system, obtain system information, interact with databases, access remote data, and more, rather than just having a simple conversation.

https://github.com/user-attachments/assets/5aa98f2b-c26d-435e-8196-73fa414066eb

We have created an open marketplace for MCP Servers. it empowers users to discover exceptional tools while offering a streamlined process for sharing their own MCP server creations.

https://github.com/user-attachments/assets/be66c30e-bb29-4dfe-9f25-8d396470ed60

💡 Local Knowledge Base

We have integrated the bge-m3 as our local embedding model, which excels in multilingual vectorization. lumos-chat now supports parsing and vectorization of docx, xlsx, pptx, pdf, txt, and csv documents, enabling storage of these vectors to power robust Retrieval-Augmented Generation (RAG) capabilities locally.

!Local Knowledge Base Screenshot

📈 Usage Analytics

By keeping track of your API usage and spending, you can gain a better understanding of how much you're spending on the API and make informed decisions to optimize your use of the service.

!Usage Analytics Screenshot

✨ Prompts Library

The prompt library provides an effective way to create and organize your own prompts. These prompts are highly versatile, thanks to their support for variables.

!Prompts Library Screenshot

🔖 Bookmarks

You can bookmark each conversation, and even if the original messages are deleted, the saved bookmarked content remains unaffected. !Bookmarks Screenshot

You can perform keyword searches across all conversations, quickly pinpointing the information you need. !Search Screenshot

TIP

Since lumos-chat uses native dependencies, it needs to be packaged on the corresponding platform. If it is on Mac OS, you may also need to configure APPLE_TEAM_ID, APPLE_ID, and APPLE_ID_PASS for notarization to avoid security alerts.


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Quick Start

1

Clone the repository

git clone https://github.com/louloulin/lumos-chat
2

Install dependencies

cd lumos-chat
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerlouloulin
Repolumos-chat
LanguageTypeScript
LicenseOther
Last fetched8/10/2025

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