Zenrows Mcp
Pull clean HTML or rendered pages from tough sites during competitor and market research without maintaining your own headless browser farm.
Overview
ZenRows MCP is an Idea-phase MCP server that lets AI assistants scrape the web through ZenRows’ Universal Scraper API using a single API key.
What is this MCP server?
- Official ZenRows MCP npm package @zenrows/mcp (v1.0.0)
- Universal Scraper API tuned for AI coding assistants
- Single required env var ZENROWS_API_KEY from ZenRows account settings
- stdio MCP transport for local agent hosts
- GitHub source at ZenRows/zenrows-mcp
- MCP server version 1.0.0; npm package @zenrows/mcp at 1.0.0
- 1 required secret environment variable: ZENROWS_API_KEY
- stdio transport; repository github.com/ZenRows/zenrows-mcp
Community signal: 18 GitHub stars.
What problem does it solve?
Market and competitor research stalls when agents cannot reliably fetch JavaScript-heavy or protected pages without a separate scraping stack.
Who is it for?
Founders and solo devs who need fast, agent-driven page captures for validation, content research, or MVP data collection.
Skip if: Large-scale production crawlers that need custom scheduling, legal review workflows, or zero third-party API cost.
What do I get? / Deliverables
With ZENROWS_API_KEY configured, your agent can request page content through ZenRows MCP tools during research or light ingestion tasks.
- Agent-invokable page fetch via ZenRows API
- Research-ready HTML or API responses for downstream parsing
- Repeatable scrape workflow without local browser infra
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Journey fit
Scraping MCPs most often land in Idea when founders validate markets and collect external pages before committing to a full crawler in the codebase. research covers competitive intel, landing-page teardowns, and pricing-page captures that ZenRows Universal Scraper API is built to serve.
How it compares
Managed universal scraper MCP, not a self-hosted Playwright skill or an SEO ranking tracker.
Common Questions / FAQ
Who is ZenRows MCP for?
Solo builders using AI coding assistants who need dependable web fetching for research, monitoring, or prototyping without operating their own scraper infrastructure.
When should I use ZenRows MCP?
Use it in the Idea phase for competitor and audience research, or early Build when you need sample HTML before committing to a custom crawler.
How do I add ZenRows MCP to my agent?
Install @zenrows/mcp, add ZENROWS_API_KEY from https://app.zenrows.com/account/settings to your MCP server env, configure stdio in Claude Code or Cursor, and test on a single URL.