amazon-machine-learning
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This document provides a comprehensive overview of the MCP Server project, detailing its features, tools, resources, usage, and FAQs.
The MCP Server is a robust implementation of the Multi-Agent Conversation Protocol (MCP) designed to facilitate seamless communication between agents using the OpenAPI specification from Amazon AWS Machine Learning. Built with Python 3.9+, this server is auto-generated using AG2's MCP builder, ensuring compatibility and efficiency. The server supports various transport modes, including stdio, sse, and streamable-http, making it versatile for different communication needs. It is equipped with tools for linting, formatting, static analysis, and testing, ensuring high code quality and reliability. The server can be configured using environment variables, allowing for flexible deployment and integration into existing systems. With a focus on security, the server supports environment variables for security parameters, such as API keys, ensuring safe and secure operations.
Features
- Auto-generated using AG2's MCP builder for seamless integration with OpenAPI specifications.
- Supports multiple transport modes (stdio, sse, streamable-http) for versatile communication.
- Equipped with tools for linting, formatting, static analysis, and testing to ensure high code quality.
- Configurable using environment variables for flexible deployment and integration.
- Focus on security with support for environment variables for security parameters.