🚀 MCP-AI: Self-Learning API-to-cURL Model

What is 🚀 MCP-AI: Self-Learning API-to-cURL Model?

This project builds an autonomous AI system that converts API documentation into cURL commands. It uses reinforcement learning to self-improve and is deployed via an MCP server with continuous integration through GitHub Actions.

How to use 🚀 MCP-AI: Self-Learning API-to-cURL Model?

Install dependencies with pip install -r requirements.txt, then start the MCP server by running bash scripts/start_mcp.sh. Launch the AI automation with python src/ai_autonomous_dev.py, and test the system with pytest tests/.

Key features of 🚀 MCP-AI: Self-Learning API-to-cURL Model

• Automated dataset generation from API documentation
• Self-improving model with reinforcement learning
• MCP server for API-based execution
• Continuous deployment with GitHub Actions
• Packaged as an SDK via setup.py
• Includes pre- and post-training scripts (pre_train.py, post_train.py)

Use cases of 🚀 MCP-AI: Self-Learning API-to-cURL Model

• Automatically generating cURL commands from any REST API documentation
• Rapid prototyping and testing of API endpoints
• Training and deploying a dedicated AI model for API-to-cURL conversion
• Integrating cURL generation into CI/CD pipelines via the MCP server

FAQ from 🚀 MCP-AI: Self-Learning API-to-cURL Model

What are the main dependencies?

The setup.py requires FastAPI, Uvicorn, PyTorch, Transformers, sacrebleu, requests, pytest, and GitPython.

How do I start the MCP server?

Run bash scripts/start_mcp.sh. If uvicorn is not found, ensure it is installed (pip install uvicorn) and activate the Python virtual environment. Alternatively, modify the script to call python -m uvicorn.

How can I test the system?

Use pytest tests/ after installing dependencies and starting the server.

What is the role of the MCP server?

It provides an API-based interface to execute the cURL generation model, enabling integration with other tools and workflows.

Does the server require authentication or configure a specific transport?

The README does not mention any authentication mechanism or transport configuration beyond the default Uvicorn HTTP server.