"cloudflare" matching MCP servers:

Provides AI assistants with 6 tools to access Material UI component documentation, enabling consistent and well-designed React application development.

Serves a curated Markdown collection of Cloudflare Workers, Durable Objects, D1, KV, and Workers AI learnings to MCP clients over HTTP, exposing it as a readable resource and a callable tool.

A template for building MCP servers that codify domain expertise into AI-accessible knowledge bases, deployable on Cloudflare Workers for AI assistants like Claude to query.

Enables AI agents to securely read and update Baynex specification documents, implementation tasks, and HTML UI definitions through MCP with Cloudflare Access authentication and Slack-audited writes.

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

Provides AI assistants with access to HeroUI component library documentation, enabling them to list components, retrieve detailed API references, and explore customization options for building React applications.

An MCP server that provides comprehensive access to Adobe Spectrum 2 UI components with complete component coverage and lightning-fast performance via Cloudflare Workers.

A remote MCP server that indexes Markdown knowledge from GitHub into Cloudflare KV, enabling AI assistants to perform fast keyword searches and retrieve documents with low latency.

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.

Serves Markdown documentation as an MCP server, enabling AI agents to answer questions from your content. Supports local, npm, and Cloudflare deployment with reusable prompts and resources.

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

A generic MCP (Model Context Protocol) server for any Hugo blog, deployed on Cloudflare Workers. It reads your blog's llms.txt and llms-full.txt files and exposes them as structured tools that AI assistants can query to understand your content.