Utilizes environment variables through .env files for configuration settings like API keys and connection parameters.

Provides compatibility with Linux systems, supporting installation of dependencies like Tesseract for OCR functionality.

Supports Node.js for frontend functionality, enabling web-based interface to interact with the multi-model platform.

Uses npm for frontend package management and running the web interface components.

Integrates with OpenAI's API for LLM capabilities, using API keys to access models for text generation and processing.

Offers optional support for Poetry dependency management for Python packages, simplifying installation and environment management.

Built on Python with support for creating virtual environments and managing dependencies for the backend system.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Server extract text from this scanned document and summarize it"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.