dialogflow-api
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This document provides a comprehensive overview of the MCP Server project, detailing its features, tools, resources, usage, and frequently asked questions.
The MCP Server is a robust implementation of the Multi-Agent Conversation Protocol (MCP) designed to facilitate seamless communication between agents using the OpenAPI specification from Google's Dialogflow. This server is auto-generated using AG2's MCP builder, ensuring compatibility and efficiency in handling conversational protocols. The server is built with 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 for flexible integration into existing systems. With a focus on security and performance, the MCP Server is an ideal solution for developers looking to implement advanced conversational agents.
Features
- Auto-generated using AG2's MCP builder for compatibility with Google's Dialogflow.
- Supports multiple transport modes: stdio, SSE, and streamable HTTP.
- Customizable configuration via environment variables for flexible integration.
- Utilizes modern development tools for linting, static analysis, and testing.
- Pre-commit hooks ensure code quality and consistency before each commit.