firebase-ml-api
If you are the rightful owner of firebase-ml-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 given OpenAPI URL, auto-generated using AG2's MCP builder.
The MCP Server is designed to facilitate multi-agent conversation protocols by leveraging the OpenAPI specifications provided by Google Firebase ML. It is built using Python and requires Python 3.9 or higher. The server supports various transport modes such as stdio and SSE, and can be configured using JSON files or environment variables. The project includes tools for linting, static analysis, and testing, ensuring high code quality and reliability. It also supports pre-commit hooks to automate code checks before commits. The server can be started using a simple command and is highly configurable to suit different deployment needs.
Features
- Supports multiple transport modes including stdio and SSE.
- Configurable via JSON files and environment variables.
- Includes tools for linting, static analysis, and testing.
- Pre-commit hooks for automated code checks.
- Built using Python 3.9+ with easy installation and setup.
