Steel Puppeteer

The Steel MCP Server bridges large language models (LLMs) like Claude with real‑world web interactions by leveraging the Steel browser platform and Puppeteer tooling. Instead of limiting an assistant to static knowledge, this server gives the model a fully functional browser that can click links, scroll pages, type into forms, and capture screenshots—all orchestrated through the Model Context Protocol. This capability turns an AI assistant into a dynamic web‑automation agent, enabling it to perform tasks that require live data or user input on the internet.

For developers building AI‑powered workflows, the server provides a straightforward integration point. By configuring a single MCP endpoint in Claude Desktop (or any other MCP‑compliant client), the assistant can request web actions such as navigating to a URL, searching Google, or filling out an online form. The server translates these high‑level tool calls into concrete browser commands via Steel, returning results like text snippets or image URLs that the LLM can then process. This eliminates the need for custom scraping scripts or separate automation frameworks, allowing developers to focus on intent modeling and dialogue management.

Key features include:

• Comprehensive web toolset: click, scroll, type, take screenshots, and execute arbitrary JavaScript.
• Dual deployment modes: seamlessly switch between a cloud‑hosted Steel instance and a self‑hosted Docker deployment with simple environment variables.
• Session management: track active browser sessions through the Steel dashboard, providing visibility and control over long‑running interactions.
• Low latency: a single setting lets developers fine‑tune how long the server waits for page loads, balancing speed and reliability.

Typical use cases span a wide range of real‑world scenarios. A customer support bot can automatically log into a user’s account to retrieve order history, an e‑commerce assistant can compare product prices across sites, or a research helper can scrape up-to-date statistics from government portals. In all these cases the assistant remains conversational while delegating complex web interactions to the MCP server, delivering a seamless user experience.

By integrating with existing AI workflows, Steel MCP Server empowers developers to create richer, more interactive assistants that can browse the web as naturally as a human would—making it an indispensable tool for any project that requires real‑time online data or automated form completion.