Crawlbase MCP Server

MCP Server

Real‑time web data for AI agents in minutes

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About

Crawlbase MCP bridges large language models with the live web, providing JavaScript‑rendered scraping, proxy rotation, and structured outputs like HTML, Markdown, or screenshots for up-to-date content.

Capabilities

Resources

Access data sources

Tools

Execute functions

Prompts

Pre-built templates

Sampling

AI model interactions

Overview

Crawlbase MCP is a Model Context Protocol server that equips AI assistants with the ability to fetch fresh, structured content directly from the live web. By bridging agents and real‑time data, it eliminates the reliance on static training sets and ensures that LLMs can answer questions with up‑to‑date information, making it indispensable for developers who need current insights without building their own scraping infrastructure.

The server handles all the heavy lifting of web crawling: it renders JavaScript‑heavy pages, rotates proxies to avoid bot detection, and delivers content in several useful formats—raw HTML for deep parsing, clean Markdown for quick consumption, or full‑page screenshots that give visual context. These capabilities let developers expose web data as first‑class resources in their MCP configuration, enabling commands like crawl, crawl_markdown, and crawl_screenshot to be invoked directly from an AI prompt.

Key features include:

JavaScript rendering: Supports modern SPA frameworks so the content you see in a browser is what the agent receives.
Proxy rotation & anti‑bot evasion: Keeps requests anonymous and reduces the risk of being blocked by target sites.
Structured outputs: Choose between raw HTML, neatly formatted Markdown, or visual screenshots to match the needs of your workflow.
Token‑based authentication: Simple API keys from Crawlbase’s dashboard control access and usage limits.

Typical use cases span multiple domains: market researchers can pull competitor pricing in real time; e‑commerce teams track product listings and reviews; finance bots stay current with news feeds; autonomous agents can “see” the web and act on live data. By integrating Crawlbase MCP into tools like Claude, Cursor, or WindSurf, developers can seamlessly embed live web data into conversational agents, dashboards, or automated workflows without writing custom scrapers. The result is a powerful, low‑maintenance pipeline that keeps AI assistants informed and actionable in the ever‑changing digital landscape.