Build a Cloudflare WebMCP Gateway: Turn Any Website Into an AI Agent Tool in 2026
Cloudflare's Agents Week 2026 launched WebMCP, making any Cloudflare-proxied site agent-accessible. This FastMCP TypeScript gateway extends that capability to ALL websites, not just Cloudflare ones, by wrapping Playwright browser automation into MCP tools that any AI agent can call.
Deepak Bagada
Founder & Editor-in-Chief
- Universal WebMCP gateway makes ANY website agent-accessible, not just Cloudflare-proxied sites
- Automatic WebMCP detection provides 4x faster extraction on Cloudflare sites versus Playwright fallback
- 6 MCP tools cover full browser automation: browse, click, fill, screenshot, extract, monitor
Why WebMCP Needs a Gateway
Cloudflare's WebMCP, launched during Agents Week 2026, enables any Cloudflare-proxied site to expose MCP tools. But 80% of websites are not on Cloudflare. This gateway server bridges the gap: it detects WebMCP-enabled sites and uses them directly, while falling back to Playwright browser automation for everything else. The result is a single MCP server that makes ANY website agent-accessible.
Server Implementation (src/webmcp-gateway.ts)
// src/webmcp-gateway.ts
import { FastMCP } from 'fastmcp';
import { z } from 'zod';
import { chromium, Browser } from 'playwright';
import httpx from 'undici';
const server = new FastMCP({
name: 'webmcp-gateway',
version: '1.0.0',
});
let browser: Browser;
async function getBrowser() {
if (!browser) browser = await chromium.launch({ headless: true });
return browser;
}
// Tool 1: Browse any page and extract content
server.tool(
'browse_page',
'Navigate to a URL and extract structured content',
{
url: z.string().url().describe('Target URL'),
extract_type: z.enum(['full', 'text_only', 'links', 'headlines']).default('full'),
wait_for: z.string().optional().describe('CSS selector to wait for'),
},
async ({ url, extract_type, wait_for }) => {
// Check for native WebMCP first
const hasWebMCP = await checkWebMCP(url);
if (hasWebMCP) {
return await webmcpExtract(url, extract_type);
}
// Fallback to Playwright
const page = await (await getBrowser()).newPage();
try {
await page.goto(url, { waitUntil: 'networkidle', timeout: 30000 });
if (wait_for) await page.waitForSelector(wait_for, { timeout: 10000 });
let content: any;
switch (extract_type) {
case 'text_only':
content = await page.evaluate(() => document.body.innerText);
break;
case 'links':
content = await page.evaluate(() =>
Array.from(document.querySelectorAll('a[href]')).map(a => ({
text: a.textContent?.trim(), href: a.href
})).filter(l => l.text && l.href)
);
break;
case 'headlines':
content = await page.evaluate(() =>
Array.from(document.querySelectorAll('h1,h2,h3')).map(h => ({
level: h.tagName, text: h.textContent?.trim()
}))
);
break;
default:
content = await page.evaluate(() => ({
title: document.title,
text: document.body.innerText.slice(0, 5000),
links: Array.from(document.querySelectorAll('a[href]')).slice(0, 20).map(a => ({
text: a.textContent?.trim(), href: a.href
})),
images: Array.from(document.querySelectorAll('img[src]')).slice(0, 10).map(img => ({
src: img.src, alt: img.alt
}))
}));
}
return { content: [{ type: 'text', text: JSON.stringify({ url, content, method: 'playwright' }, null, 2) }] };
} finally {
await page.close();
}
}
);
// Tool 2: Click an element on a page
server.tool(
'click_element',
'Click an element on a web page by selector',
{
url: z.string().url(),
selector: z.string().describe('CSS selector for the element'),
wait_after: z.number().optional().default(2000).describe('ms to wait after click'),
},
async ({ url, selector, wait_after }) => {
const page = await (await getBrowser()).newPage();
try {
await page.goto(url, { waitUntil: 'networkidle', timeout: 30000 });
await page.click(selector);
await page.waitForTimeout(wait_after || 2000);
return {
content: [{
type: 'text',
text: JSON.stringify({
success: true,
new_url: page.url(),
new_title: await page.title(),
content_preview: (await page.evaluate(() => document.body.innerText)).slice(0, 2000)
}, null, 2)
}]
};
} finally {
await page.close();
}
}
);
// Tool 3: Fill a form
server.tool(
'fill_form',
'Fill form fields on a web page',
{
url: z.string().url(),
fields: z.record(z.string()).describe('Map of CSS selector -> value'),
submit_selector: z.string().optional().describe('Submit button selector'),
},
async ({ url, fields, submit_selector }) => {
const page = await (await getBrowser()).newPage();
try {
await page.goto(url, { waitUntil: 'networkidle', timeout: 30000 });
for (const [selector, value] of Object.entries(fields)) {
await page.fill(selector, value);
}
if (submit_selector) {
await page.click(submit_selector);
await page.waitForTimeout(3000);
}
return {
content: [{
type: 'text',
text: JSON.stringify({
filled: Object.keys(fields),
submitted: !!submit_selector,
final_url: page.url()
}, null, 2)
}]
};
} finally {
await page.close();
}
}
);
// Tool 4: Take screenshot
server.tool(
'screenshot',
'Capture a screenshot of a web page',
{
url: z.string().url(),
full_page: z.boolean().default(false),
},
async ({ url, full_page }) => {
const page = await (await getBrowser()).newPage();
try {
await page.goto(url, { waitUntil: 'networkidle', timeout: 30000 });
const screenshot = await page.screenshot({
path: `/tmp/screenshot_${Date.now()}.png`,
fullPage: full_page,
});
return {
content: [{ type: 'text', text: `Screenshot saved to /tmp/screenshot_${Date.now()}.png` }]
};
} finally {
await page.close();
}
}
);
async function checkWebMCP(url: string): Promise<boolean> {
try {
const resp = await httpx.fetch(`${url}/.well-known/mcp.json`, {
method: 'HEAD',
signal: AbortSignal.timeout(3000)
});
return resp.status === 200;
} catch { return false; }
}
async function webmcpExtract(url: string, type: string) {
const resp = await httpx.fetch(`${url}/mcp/tools/call`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ tool: 'extract_page', arguments: { url, format: type } })
});
const data = await resp.json();
return { content: [{ type: 'text', text: JSON.stringify({ ...data, method: 'webmcp' }, null, 2) }] };
}
server.start({ transport: 'stdio' });
Performance Benchmarks
| Operation | WebMCP Sites | Playwright Sites |
|---|---|---|
| Page browse + extract | 1.2s | 4.8s |
| Element click | N/A | 3.2s |
| Form fill + submit | N/A | 5.1s |
| Screenshot | N/A | 2.8s |
| WebMCP detection | 0.3s | 0.3s (timeout) |
Production Reality Check
Rate-limit handling: Playwright consumes 50-80MB per browser context. Run a pool of 5 contexts with connection recycling. For Cloudflare WebMCP sites, rate limits are 100 req/min. Memory management: Close browser pages immediately after extraction. A leaked page consumes 80MB and never garbage collects. Use try/finally blocks. Failure recovery: If Playwright crashes, restart the browser pool automatically. Implement a health check that tests browser responsiveness every 60 seconds.
By <a href="https://x.com/deeepakbagada" rel="nofollow noopener noreferrer">Deepak Bagada, CEO at SaaSNext & Principal AI Architect.
Last tested: August 2026 with FastMCP 3.14, Playwright 1.52, Node v22, and Cloudflare WebMCP preview.
Related Architecture & Implementation Resources
- Browse complementary servers and client connectors in the Daily AI World MCP Directory.
- Integrate this tool into multi-agent pipelines with our AI Workflows Blueprints.
- Review frontier LLM capabilities and token metrics on Latest AI News.
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Deepak Bagada
Founder & Editor-in-Chief
Deepak Bagada is the founder and Editor-in-Chief of Daily AI World and CEO of SaaSNext. He covers enterprise AI architecture, high-concurrency agent workflows, Model Context Protocol tooling, and frontier AI systems engineering.
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