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[The Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
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This server provides cloud browser automation capabilities using [Browserbase](https://www.browserbase.com/), [Puppeteer](https://pptr.dev/), and [Stagehand](https://github.com/browserbase/stagehand). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.
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This server provides cloud browser automation capabilities using [Browserbase](https://www.browserbase.com/) and [Stagehand](https://github.com/browserbase/stagehand). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.
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To learn to get started with Browserbase, check out [Browserbase MCP](./browserbase/README.md) or [Stagehand MCP](./stagehand/README.md).
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| Data Extraction | Extract structured data from any webpage |
A Model Context Protocol server that uses Playwright and Browserbase
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to provide browser automation tools.
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The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
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To use proxies in STDIO, set the --proxies flag in your MCP Config. Your cookies JSON must be in the type of [Playwright Cookies](https://playwright.dev/docs/api/class-browsercontext#browser-context-cookies)
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