"cloudflare" matching MCP servers:

Enables AI assistants to control a browser through Playwright on Cloudflare Workers, allowing web automation tasks like navigation, typing, clicking, and taking screenshots through natural language commands.

Provides search capabilities for Cloudflare AutoRAG instances, enabling AI assistants like Claude to directly search and query knowledge bases using three distinct search methods: basic search, rewrite search, and AI search.

A remote web search MCP server deployed on Cloudflare Workers that wraps Tavily's low-cost search into a 'web_search' tool. It is suitable for mobile/desktop AI clients or any app supporting remote MCP.

A unified MCP server for Tavily and Brave Search APIs that features automatic API key rotation and zero-cost hosting on Cloudflare Workers. It provides tools for web searching, data extraction, and research with secure, encrypted key management.

A server for hosting Model Context Protocol (MCP) tools on Cloudflare Workers with OAuth authentication, allowing Claude AI and other MCP clients to access extended capabilities.

A Model Context Protocol server that runs on Cloudflare Workers, enabling tools integration with Claude AI through OAuth login.

A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.

Turns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.

A server implementation for the Model Context Protocol (MCP) that runs on Cloudflare Workers and supports OAuth login, allowing Claude AI to use custom tools through local or remote connections.

Deploys a remote MCP server on Cloudflare Workers with AutoRAG capabilities, enabling tools like math operations and RAG-based queries through SSE transport and OAuth authentication.

A serverless MCP (Model Context Protocol) implementation that can be deployed on Cloudflare Workers without authentication, allowing clients like Claude Desktop to connect to custom AI tools.

A server that leverages Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, offering tools for fetching pages, searching documentation, extracting structured content, and summarizing content.

A package that connects Claude Desktop and other MCP clients to Cloudflare Workers, enabling custom functionality to be accessed via natural language through the Model Context Protocol.

A unified search and extraction MCP server hosted on Cloudflare Workers that integrates Tavily and Brave Search APIs with automatic API key rotation. It features secure, encrypted storage for keys using Cloudflare D1 and provides an admin interface for managing client tokens and search configurations.

Enables AI clients to explore MCP concepts, retrieve quickstart guides, and ask questions with Redis-cached answers, supporting deployment on Cloudflare Workers and Docker.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

Enables deployment of MCP servers to Cloudflare Workers without authentication requirements. Allows users to create custom tools and connect them to MCP clients like Claude Desktop or Cloudflare AI Playground through remote URLs.

A deployable authentication-free MCP (Model Context Protocol) server on Cloudflare Workers that allows you to add custom tools and connect to AI clients like Claude Desktop or Cloudflare AI Playground.

A deployable Cloudflare Workers service that implements Model Context Protocol without authentication, allowing AI models to access custom tools via clients like Claude Desktop or Cloudflare AI Playground.

Enables AI assistants to semantically search a Cloudflare-backed personal knowledge base through a tool call, with optional filtering by source and result count.