"Guide to Deploying a Website on Cloudflare Pages" matching MCP servers:

It enables AI agents to call a small set of reliable, permission-aware tools generated from an existing website through the Model Context Protocol, without rebuilding the site.

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

A read-only remote MCP server that searches and reads files from a personal Microsoft OneDrive folder via Cloudflare Workers, enabling live access without a local workstation or tunnel.

Lets you use Claude Desktop, or any MCP Client, to use natural language to accomplish things on your Cloudflare account.

A deployable MCP server for Cloudflare Workers or Azure Functions that provides example tools (time, echo, math), prompt templates for code assistance, and configuration resources. Enables AI assistants to interact with edge-deployed services through the Model Context Protocol.

MCP server for Facebook Pages organic analytics and management using Meta Graph API v25.0. Enables AI assistants to read page insights, posts, comments, and publish content via natural language.

Enables deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It utilizes EdgeOne Pages Functions and KV storage for high-performance edge delivery of web applications.

A token-efficient MCP server that provides access to the entire Cloudflare API (2500+ endpoints) using a code execution pattern, enabling natural language management of Cloudflare services.

Enables comprehensive Trello integration via MCP, supporting boards, lists, cards, comments, labels, members, checklists, search, and attachments, deployed on Cloudflare Workers.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables AI assistants to deploy and manage static websites directly through EdgeOne Pages. This self-hosted solution allows for direct file management and website hosting using EdgeOne's infrastructure and KV storage.

A proof of concept implementation of Model Context Protocol server running on Cloudflare's edge network with bearer token authentication, allowing deployed AI models to access tools via serverless architecture.

A self-hosted MCP server that enables AI assistants to deploy and manage static websites directly on EdgeOne Pages platform with KV storage support.

Reads a small-business website like a customer would and shows where they get stuck. Every AI answer has to quote the page, and the server checks the quote before it counts.

Enables AI agents to search private GitHub Pages by authenticating in a dedicated browser and retrieving indexed sections from a local SQLite database, with support for multiple sites and languages.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

MCP server to manage Cloudflare Workers, KV, R2, Pages, DNS, and cache from your IDE.

A server that leverages Playwright for automated browser testing and integrates with Cloudflare Workers, enabling AI assistants to control web browsers for navigation, interaction, and screenshots.

Slim Cloudflare MCP Server — 42 tools for managing DNS, zones, tunnels, WAF, Zero Trust, and security via Cloudflare API v4. Multi-zone support. No SSH, no shell, API-only with 3 runtime dependencies. AGPL-3.0 + Commercial dual-licensed.

A local stdio MCP server that provides 69 tools for Cloudflare REST API v4, including DNS, Zones, Workers, KV, R2, D1, Pages, Queues, Tunnels, SSL, WAF, Email Routing, Logpush and Workers AI, authenticated by a single API token.

Analyzes a public webpage for SEO, metadata, and technical signals through 27 stdio tools, including a complete multi-analyzer call.

A high-performance MCP server providing AI assistants with read-only access to the Cloudflare ecosystem. Query your entire Cloudflare infrastructure using natural language through Claude, Cursor, or any MCP-compatible client.

Enables deploying and connecting to MCP servers on Cloudflare Workers with OAuth login, allowing remote access to tools via MCP clients like Claude Desktop.

Enables AI agents to fetch and crawl web pages, strip noise, and convert content into clean Markdown with preserved links for token-efficient scraping and downstream processing.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables MCP clients to capture web page and DOM element images, tile full pages into AI-friendly chunks, and record animated screencasts with configurable waits and JavaScript injection.

Captures high-quality webpage screenshots optimized for AI vision workflows, automatically tiling full pages into 1072x1072 chunks, with support for element-specific captures, configurable waits, and screencasts.

This server performs a comprehensive analysis of a website by fetching its HTML and scoring it across five categories: performance, SEO, design, functionality, and technology. It enables users to identify technical strengths and weaknesses in a webpage's structure and health.

Enables running a stateless Model Context Protocol server over Streamable HTTP on Cloudflare Workers or any fetch-capable runtime, with signed sessions, origin checks, and JSON-RPC request handling. It lets developers define tools with JSON Schema validation and per-request context.