--- source_url: "https://webclaw.io/use-cases/ai-agents?utm_source=openai" title: "Real-time web data for AI agents | webclaw" mirrored_at: 2026-08-07T01:01:01.362Z host: webclaw.io cited_in_42a: true mirror_canonical: "https://index.42a.ai/webclaw.io/use-cases/ai-agents__q__utm_source_openai" --- > **Original source:** https://webclaw.io/use-cases/ai-agents?utm_source=openai [Home](https://webclaw.io/)/[Use cases](https://webclaw.io/use-cases)/AI agents webclaw-mcp (stdio) Give your AI agent live eyes on the web. One MCP install. AI agents that can only read their training data are stuck in the past. webclaw exposes 14 web tools over the Model Context Protocol so Claude, Cursor, and any MCP-compatible agent can scrape, crawl, search, and extract from the live web in real time. [View API docs](https://webclaw.io/docs/mcp) How it works ## Build it step by step. The real flow, one step at a time. Switch between TypeScript, Python, and cURL on any snippet. 1. 1 ### Install the MCP server Add webclaw over MCP (an API key unlocks the cloud tools) so the agent gets 14 web tools over stdio. 2. 2 ### Agent calls a tool When the agent needs live data it invokes scrape, search, or extract instead of relying on stale training data. 3. 3 ### Fetch and clean webclaw fetches the URL, handles bot protection, and returns structured markdown or JSON. 4. 4 ### Reason over the result The agent reads the clean output and continues its task with fresh, real-world context. Why webclaw ## Built for ai agents. Native MCP server, works with Claude Desktop, Cursor, Windsurf out of the box Automatic bot-protection handling for sites that block plain requests 14 tools exposed: scrape, search, crawl, map, batch, extract, summarize, diff, brand, research, lead, lead\_batch, list\_extractors, vertical\_scrape 118ms on static pages keeps agents responsive, no multi-second waits Structured output (JSON, markdown) that agents can reason over What you get ## Everything this use case needs. - MCP server with 14 tools over stdio - Works with Claude Desktop, Claude Code, Cursor, Windsurf, OpenCode - Automatic bot-protection handling - Real-time web access (no stale training data) - Structured JSON or markdown output Where it fits ## Built for the messy parts. Your AI agent can write code, analyze documents, and reason about complex problems, but it cannot read a webpage reliably. Most scraping tools fail on modern bot-protected sites, and integrating them requires custom middleware for every agent framework. webclaw-mcp is a Model Context Protocol server that exposes 8 web extraction tools over stdio. Install it once and your AI agent gets scrape, crawl, search, batch, extract, summarize, diff, and screenshot tools that handle bot-protected sites automatically. No middleware, no custom code. Common questions ## Frequently asked questions ### Which AI clients support webclaw's MCP server? webclaw-mcp works with any MCP-compatible client: Claude Desktop, Claude Code, Cursor, Windsurf, OpenCode, Codex, Antigravity, and any custom agent built on the official MCP SDK. ### Can my agent read bot-protected sites? Yes. webclaw handles bot-protected sites automatically and returns real content from pages that block plain requests. Your agent does not need to configure anything, it just calls the tool and gets clean content back. ### How do I give my Cursor agent live web access? Add webclaw over MCP to your Cursor config (an API key unlocks the cloud tools), and your agent will have 14 web tools available immediately. No other setup required. For AI agents ## Or hand it to your agent. Add the webclaw MCP server to Claude, Cursor, or any MCP client, then paste this prompt. The agent calls the webclaw tools and hands the result back to your model — no code to write. [Set up the MCP server](https://webclaw.io/products/mcp) ## Ready to build? Start extracting. Cancel anytime. Clean, structured data on every call. [Read the guide](https://webclaw.io/blog/mcp-and-web-scraping)[API documentation](https://webclaw.io/docs/mcp) Other use cases