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

by S-Umasankar

1 stars

198 downloads

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Description

# 🚀 MCP-AI: Self-Learning API-to-cURL Model This project builds an **autonomous AI system** to convert API documentation into cURL commands. ## 📌 Features: ✅ **Automated Dataset Generation** ✅ **Self-Improving Model** with Reinforcement Learning ✅ **MCP Server for API-based…

About

Details

Author: S-Umasankar
GitHub stars: 1
Downloads: 198
Categories: Developer Tools

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

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

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

From the repository

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/.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\ud83d\ude80 mcp-ai: self-learning api-to-curl model": {
            "api-to-curl-mcp-server": {
                "command": "python",
                "args": [
                    "src/ai_autonomous_dev.py"
                ]
            }
        }
    }
}

McpServers

{
    "api-to-curl-mcp-server": {
        "command": "python",
        "args": [
            "src/ai_autonomous_dev.py"
        ]
    }
}

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

This project builds an autonomous AI system to convert API documentation into cURL commands.

📌 Features:

✅ Automated Dataset Generation ✅ Self-Improving Model with Reinforcement Learning ✅ MCP Server for API-based Execution ✅ Continuous Deployment with GitHub Actions

---

🚀 Quick Start:

1️⃣ Install dependencies:

pip install -r requirements.txt

2️⃣ Start MCP Server:

bash scripts/start_mcp.sh

3️⃣ Start AI Automation:

python src/ai_autonomous_dev.py

4️⃣ Test System:

pytest tests/

---

📜 `setup.py` (For Packaging SDK)

from setuptools import setup, find_packages
setup(

    name="mcp_sdk",

    version="1.0",

    packages=find_packages(),

    install_requires=[

        "fastapi",

        "uvicorn",

        "torch",

        "transformers",

        "sacrebleu",

        "requests",

        "pytest",

        "gitpython",

    ],

    author="Your Name",

    description="MCP SDK for API-to-cURL Model Automation",

    license="MIT"

)

---

✅ Final Steps

1️⃣ Install dependencies

pip install -r requirements.txt

2️⃣ Start MCP Server

bash scripts/start_mcp.sh

3️⃣ Run AI Automation

python src/ai_autonomous_dev.py

4️⃣ Test System

pytest tests/

Fix uvicorn: command not found

The error indicates that uvicorn is not installed or not in the system path.

✅ Solution 1: Install Uvicorn

pip install uvicorn

✅ Solution 2: Ensure Virtual Environment is Activated

source /Users/umasankars/PycharmProjects/CapstoneMCPserver/venv/bin/activate
pip install -r requirements.txt

✅ Solution 3: Explicitly Call Python for Uvicorn

Modify scripts/start_mcp.sh to:


#!/bin/bash
echo "🚀 Starting MCP Server..."
/Users/umasankars/PycharmProjects/CapstoneMCPserver/venv/bin/python -m uvicorn src.mcp_server:app --reload

Final Steps

After applying the fixes, restart everything:


pip install --upgrade pip setuptools wheel
pip install -r requirements.txt
bash scripts/start_mcp.sh

🚀 Now the system is fully organized and self-learning! 🎯

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Description

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

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

📌 Features:

🚀 Quick Start:

1️⃣ Install dependencies:

2️⃣ Start MCP Server:

3️⃣ Start AI Automation:

4️⃣ Test System:

📜 setup.py (For Packaging SDK)

✅ Final Steps

1️⃣ Install dependencies

2️⃣ Start MCP Server

3️⃣ Run AI Automation

4️⃣ Test System

Fix uvicorn: command not found

✅ Solution 1: Install Uvicorn

✅ Solution 2: Ensure Virtual Environment is Activated

✅ Solution 3: Explicitly Call Python for Uvicorn

Final Steps

Install

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📜 `setup.py` (For Packaging SDK)