amazon-sagemaker-feature-store-runtime
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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 provided by Amazon AWS SageMaker Feature Store Runtime. This server is auto-generated using AG2's MCP builder, ensuring a streamlined setup and deployment process. It is built on Python 3.9+ and leverages modern development tools such as ruff for linting, mypy for static type checking, and pytest for testing. The server supports various transport modes, including stdio, sse, and streamable-http, making it versatile for different deployment scenarios. With a focus on security and configurability, the server can be customized using environment variables and JSON configuration files. The project also integrates pre-commit hooks to maintain code quality and uses Hatch for building and publishing, ensuring a smooth development lifecycle.
Features
- Auto-generated using AG2's MCP builder for ease of setup.
- Supports multiple transport modes: stdio, sse, and streamable-http.
- Integrates modern development tools for linting, testing, and static analysis.
- Configurable via environment variables and JSON files for flexibility.
- Pre-commit hooks and Hatch integration for streamlined development and publishing.