🦅 Saqr-MCP

what is Saqr-MCP?

Saqr-MCP is a Python application that implements the Model Context Protocol (MCP) to enable AI assistant capabilities with both local models through Ollama and cloud models through Groq. It provides a client-server architecture where the client can communicate with either local or cloud models.

how to use Saqr-MCP?

To use Saqr-MCP, clone the repository, set up the environment variables, and run the client. You can interact with the AI models through an interactive console.

key features of Saqr-MCP?

• Interactive chat interface for querying models
• Support for both local models (Ollama) and cloud models (Groq)
• Robust web search tool integration using Tavily API
• Word document generation from chat conversations
• Memory management system using mem0 for storing and retrieving information
• Async architecture for efficient processing
• Visual loading animations for better user experience

use cases of Saqr-MCP?

1. Assisting users with queries using AI models
2. Generating documents based on chat interactions
3. Managing and retrieving information through memory management

FAQ from Saqr-MCP?

• Can Saqr-MCP work with both local and cloud models?

Yes! Saqr-MCP supports both local models through Ollama and cloud models through Groq.

• Is there a specific Python version required?

Yes, Python 3.11 or higher is required to run Saqr-MCP.

• How do I set up the environment variables?

You need to copy .env.example to .env and configure the necessary API keys and model names.