What are the prerequisites?
Node.js v20+, npm/yarn, an OpenAI API key (for GPT models), and a Google AI key (for Gemini models).
@tmahesh
基本信息
agentkit for playwright-mcp server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"playwright-agent": {
"command": "npx",
"args": [
"@playwright/mcp@latest",
"--port",
"8931"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
AgentKit Browser Automation is a browser agent built with Inngest-AgentKit and Firebase-Genkit, featuring an agent system for intelligent web navigation and task execution. It integrates with Playwright MCP to control a browser via an MCP server.
Install Node.js v20+, clone the repository, install dependencies, and set environment variables for OpenAI and/or Google AI keys. Start the Playwright MCP server on port 8931, then run either npx tsx genkit.ts (for Genkit SDK) or npx tsx agentkit.ts (for Inngest-AgentKit). Optional dev servers provide built‑in observability.
Node.js v20+, npm/yarn, an OpenAI API key (for GPT models), and a Google AI key (for Gemini models).
Run `npx @playwright/mcp@latest --port 8931` in a separate terminal window before launching the agent.
The Genkit mode (`npx tsx genkit.ts`) uses the Genkit SDK, while the AgentKit mode (`npx tsx agentkit.ts`) uses Inngest-AgentKit. Both achieve browser automation but differ in their agent framework.
Yes. For Genkit mode, run `npx genkit start -- npx tsx --watch genkit.ts`. For AgentKit mode, run `npx inngest-cli@latest dev --no-discovery -u http://localhost:3000/api/inngest -v`. Both provide built‑in OpenTelemetry observability.

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