data-pipelines-api
If you are the rightful owner of data-pipelines-api 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 for the OpenAPI URL provided by Google Data Pipelines, auto-generated using AG2's MCP builder.
The MCP Server is designed to facilitate multi-agent conversations by leveraging the OpenAPI specifications of Google Data Pipelines. It is built using Python 3.9+ and offers a robust framework for developing, testing, and deploying conversation protocols. The server supports various transport modes, including stdio, sse, and streamable-http, making it versatile for different communication needs. With a focus on development efficiency, the project integrates 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 scenarios. Additionally, pre-commit hooks are set up to maintain code integrity before each commit.
Features
- Supports multiple transport modes: stdio, sse, and streamable-http.
- Integrates with ruff for linting and formatting, ensuring code quality.
- Utilizes mypy for static type checking and pytest for testing.
- Configurable via environment variables for flexible deployment.
- Pre-commit hooks for maintaining code integrity.