MCP Server Markup Language (MCPML)

What is MCPML?

MCPML (MCP Server Markup Language) is a Python framework designed for building Model Context Protocol (MCP) servers with support for Command Line Interface (CLI) and OpenAI Agent integration.

How to use MCPML?

To use MCPML, install it via pip and configure your environment with the necessary OpenAI API keys. You can then run the server using CLI commands to manage and execute MCP services.

Key features of MCPML?

• 🚀 MCP Server Framework: Build MCP-compliant servers in Python.
• 🔧 CLI Tools: All server capabilities exposed as CLI commands.
• 🤖 OpenAI Agent SDK Support: Implement tools as OpenAI agents or simple Python functions.
• 🔄 Agent-to-MCP Integration: Agents can consume MCP services via configuration.
• 🛠️ Extensible Architecture: Easily add custom tools and services.
• 🔌 Dynamic Loading: Support for custom agent types and tool implementations from the execution directory.
• 📦 Structured Output: Support for structured output using Pydantic models.

Use cases of MCPML?

1. Building custom MCP servers for various applications.
2. Integrating OpenAI agents for enhanced functionality.
3. Creating CLI tools for managing server operations.

FAQ from MCPML?

• Can MCPML be used for any type of server?

MCPML is specifically designed for building MCP-compliant servers.

• Is MCPML free to use?

Yes! MCPML is open-source and available under the MIT license.

• How do I install MCPML?

You can install MCPML using pip with the command: pip install git+https://github.com/a5c-ai/mcpml#egg=mcpml.