// Add Zenrows as an MCP server in any client (Claude Code,
// Cursor, VS Code, Vercel AI SDK, OpenAI Agents, ...).
{
  "mcpServers": {
    "zenrows": {
      "command": "npx",
      "args": ["-y", "@zenrows/mcp"],
      "env": { "ZENROWS_API_KEY": "sk_..." }
    }
  }
}

import { streamText } from 'ai';
import { anthropic } from '@ai-sdk/anthropic';
import { fetch, extract, crawl } from '@zenrows/ai-sdk';

const result = streamText({
  model: anthropic('claude-opus-4-7'),
  tools: { fetch, extract, crawl },
  prompt: userTask,
});

from langchain.agents import create_agent
from zenrows_langchain import fetch, extract, crawl

agent = create_agent(
    model="anthropic:claude-opus-4-7",
    tools=[fetch, extract, crawl],
)
result = agent.invoke({"input": user_task})

# Any language, any runtime — typed REST surface.
curl https://api.zenrows.com/v1/fetch \
  -H "Authorization: Bearer $ZENROWS_API_KEY" \
  -d '{"url":"https://example.com","format":"markdown"}'