amazon-rekognition
If you are the rightful owner of amazon-rekognition and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This document provides a comprehensive summary of the MCP Server project, which is designed to facilitate multi-agent conversation protocols using the OpenAPI specification for Amazon Rekognition.
The MCP Server is a robust platform designed to implement the Multi-Agent Conversation Protocol (MCP) for the Amazon Rekognition API. This server is auto-generated using AG2's MCP builder, ensuring seamless integration and communication between multiple agents. The server 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. It supports various transport modes, including stdio, sse, and streamable-http, making it versatile for different deployment scenarios. The server's configuration is highly customizable through environment variables, allowing users to specify paths to configuration files or directly input JSON strings for configuration. Security parameters, such as API keys, can also be managed through environment variables, ensuring secure communication. The project is structured to support continuous integration and deployment, with pre-commit hooks and scripts for testing, building, and publishing.
Features
- Auto-generated MCP server using AG2's MCP builder.
- Supports multiple transport modes: stdio, sse, and streamable-http.
- Highly customizable configuration via environment variables.
- Integrated with modern development tools for linting, testing, and static analysis.
- Pre-commit hooks for streamlined development workflow.