For AI agents: a documentation index is available at /llms.txt
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AI & Agent Integrations

Browserless gives your AI a managed, stealth-enabled browser to plan, act, and observe the web. Pick the integration that fits your stack.

Before you start

Agentic Browsing

MCP (Model Context Protocol)

Connect MCP-compatible clients directly to Browserless over the Model Context Protocol (MCP).

  • MCP Overview — Compare the two Browserless MCP servers and pick the right one
  • Browserless MCP Server — Full browser automation: scrape, screenshot, PDF, crawl, and run custom code from any MCP client
  • Browserless Docs MCP — Query Browserless documentation directly from your IDE or AI tool

Agent Frameworks

Use Browserless as the browser your agent controls.

  • Browser Use — Agentic browsing in Python
  • Stagehand — Natural language and code browser automation
  • LangChain — Browserless loaders inside chains and agents
  • AgentKit — Fault-tolerant AI agents with Browserless browser tools via Inngest
  • Agent Browser — Headless browser automation CLI for AI agents
  • OpenClaw — Local AI assistant with cloud-powered browser execution

AI SDKs & APIs

Build agents and tool-calling flows with Browserless as a browser tool.

  • Vercel AI SDK — Browser tools for Next.js AI handlers
  • Claude Agent SDK — Autonomous Claude agents with stealth browsing and CAPTCHA solving
  • OpenAI SDK — Browserless tools via the OpenAI Responses API MCP connector
  • Anthropic SDK — Browserless tools via the Anthropic Messages API MCP connector

AI Tools & Interfaces

Extend AI tools and IDEs with a cloud browser.

Workflow & Automation

Call Browserless as a reliable API step inside no-code and low-code tools.

  • n8n — Drag-and-drop workflows with Browserless REST and BQL
  • Make.com — No-code automation calling Browserless
  • Zapier — Trigger Browserless actions from Zapier apps