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

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Overview

MCP-AI is an autonomous AI system designed to convert API documentation into cURL commands, streamlining the process of API interaction.

To use MCP-AI, install the required dependencies, start the MCP server, and run the AI automation script to begin converting API documentation into cURL commands.

Automated dataset generation for training the model - Self-improving model utilizing reinforcement learning techniques - MCP server for executing API-based commands - Continuous deployment capabilities using GitHub Actions

Automating the conversion of API documentation into executable cURL commands.
Enhancing developer productivity by simplifying API interactions.
Facilitating testing and integration of APIs in software development.

Add to your AI client

Use these steps to connect 🚀 MCP-AI: Self-Learning API-to-cURL Model in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "api-to-curl-mcp-server-s-umasankar": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-api-to-curl-mcp-server-s-umasankar"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "api-to-curl-mcp-server-s-umasankar": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-api-to-curl-mcp-server-s-umasankar"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "api-to-curl-mcp-server-s-umasankar": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-api-to-curl-mcp-server-s-umasankar"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "api-to-curl-mcp-server-s-umasankar": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-api-to-curl-mcp-server-s-umasankar"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "api-to-curl-mcp-server-s-umasankar": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-api-to-curl-mcp-server-s-umasankar"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "api-to-curl-mcp-server-s-umasankar": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-api-to-curl-mcp-server-s-umasankar"
      ]
    }
  }
}

FAQ

What programming language is MCP-AI built with?

MCP-AI is built using Python.

Is there a way to contribute to the project?

Yes! Contributions are welcome on the project's GitHub page.

How can I troubleshoot installation issues?

Refer to the troubleshooting section in the documentation for common installation problems and solutions.

Developer tools

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