MCP Azure OpenAI Bridge

Example Use Cases

• 1

  Control a browser and automate web interactions via Playwright (navigate, click, fill forms, wait for events) through MCP-exposed tools.

• 2

  Translate MCP tool metadata and descriptions into OpenAI-compatible function-calling format to integrate with Azure OpenAI deployments.

• 3

  A lightweight FastMCP-based server/client example for local testing, development, and end-to-end automation using Playwright and Azure OpenAI.

Description

This repository provides a lightweight MCP server/client implementation built with FastMCP and a custom MCP-LLM bridge to convert MCP tool responses into the OpenAI function calling format for use with Azure OpenAI. It includes integration with Playwright to automate and test web interactions, and demonstrates passing the server object directly into the bridge for stable connections. The project is intended for local development and testing and requires Azure OpenAI credentials (.env) and the 'uv' Python environment manager described in the README.