What dependencies are required?
The project uses `uv` for Python library management. During development in December 2024, `pip` and `poetry` were not yet fully supported by the MCP CLI. Playwright is used as the web testing framework.
MCP Aoai Web Browsing
@kimtth
基本信息
关于 MCP Aoai Web Browsing
A minimal Model Context Protocol 🖥️ server/client🧑💻with OpenAI and 🌐 web browser control via Playwright.
MCP Aoai Web Browsing 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-aoai-web-browsing": {
"command": "uv",
"args": [
"sync"
]
}
}
}MCP Aoai Web Browsing 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Mcp Aoai Web Browsing?
Mcp Aoai Web Browsing is a minimal MCP server and client application that combines Playwright-based web browsing with Azure OpenAI or OpenAI. It converts MCP tool responses into the OpenAI function calling format using a custom MCP-LLM Bridge, enabling AI assistants to navigate and interact with web pages programmatically.
How to use Mcp Aoai Web Browsing?
Configure a .env file with your Azure OpenAI endpoint, API key, deployment model, and API version. Install uv, run uv sync to install dependencies, then execute python chatgui.py to launch the chat interface. For external clients (Claude Desktop, VS Code, Claude Code), add a mcp.json configuration pointing to the server script.
Key features of Mcp Aoai Web Browsing
- Built with FastMCP and Playwright for web automation
- Converts MCP tools to OpenAI function calling format
- Supports both Azure OpenAI and standard OpenAI providers
- Works in-process or via external stdio MCP server connections
- Reusable by different clients (Claude Desktop, VS Code, custom scripts)
- Exposes direct tool metadata and execution for custom LLM loops
Use cases of Mcp Aoai Web Browsing
- AI agents that need to navigate websites and extract content
- Automated web form filling and login workflows
- Browser-based testing orchestrated by an LLM
常见问题
How do I configure for Azure OpenAI vs standard OpenAI?
For Azure OpenAI, set `AZURE_OPEN_AI_ENDPOINT`, `AZURE_OPEN_AI_API_KEY`, `AZURE_OPEN_AI_DEPLOYMENT_MODEL`, and `AZURE_OPEN_AI_API_VERSION` in `.env`. For standard OpenAI, use the `get_openai_llm_config()` function and set `OPENAI_API_KEY` and `OPENAI_MODEL` environment variables.
What transport layer does the server use?
The server communicates over stdio (a transport layer) using JSON-RPC as the application protocol. This is commonly described as "JSON-RPC over stdio."
How do I connect external clients?
External clients like Claude Desktop, Claude Code, and VS Code connect via `mcp.json` configuration. The configuration specifies the `uv` command to run the FastMCP server script and provides environment variables for Azure OpenAI credentials.
What tools does the server expose?
The server exposes tools such as `playwright_navigate`, which accepts a URL, optional timeout, and wait condition. Tools are defined using FastMCP's `@self.mcp.tool()` decorator, and their docstrings provide descriptions used for function calling.
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