bigquery-connection-api
If you are the rightful owner of bigquery-connection-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 - https://api.apis.guru/v2/specs/googleapis.com/bigqueryconnection/v1beta1/openapi.json, auto-generated using AG2's MCP builder.
The MCP Server is designed to facilitate multi-agent conversations by leveraging the OpenAPI specifications provided by Google BigQuery Connection API. It is built using Python 3.9+ and offers a robust framework for developing, testing, and deploying multi-agent systems. 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 in different environments. Additionally, the project supports pre-commit hooks to maintain code integrity and uses Hatch for building and publishing, streamlining the development lifecycle.
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.