amazon-kinesis-analytics
If you are the rightful owner of amazon-kinesis-analytics 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 project is an MCP (Multi-Agent Conversation Protocol) Server designed for the OpenAPI URL provided by Amazon Kinesis Analytics V2, auto-generated using AG2's MCP builder.
The MCP Server is a robust and versatile server designed to facilitate multi-agent conversations using the Multi-Agent Conversation Protocol (MCP). It is specifically tailored for the OpenAPI specification of Amazon Kinesis Analytics V2, providing a seamless integration for developers looking to implement advanced conversational protocols. The server is built using 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, allowing for flexible deployment options. Configuration is highly customizable through environment variables, enabling developers to specify paths to configuration files or directly input JSON strings for configuration. The project also includes pre-commit hooks to ensure code quality and consistency, and it uses Hatch for building and publishing, making it easy to distribute and deploy.
Features
- 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 maintaining code quality.
- Uses Hatch for easy building and publishing.