nanbingxyz/5ire

A Sleek AI Assistant & MCP Client
OpenAI
/ Azure
/ Anthropic
/ Google
/ Mistral
/ Doubao
/ Grok
/ DeepSeek
/ Ollama
Twitter
Releases
### 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.
### 💪 Getting involved
If you want to contribute code to 5ire or develop your own apps based on 5ire, start with the Development Setup Guide.
Visit Wiki for more details.
🚀 To integrate 5ire’s one-click server installation into your website, see the One-Click Server Installation Integration Guide.
### 💬 Community
Join the Discord, By joining, you’ll get:
Faster responses to your questions and issues
Direct input on new features and improvements
A place to share ideas, tips, and feedback with other 5ire users
Opportunities to co-build and shape the future of 5ire together
# 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. 5ire 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.
## 📈 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.
## ✨ Prompts Library