Cloudflare Documentation
ECOSYSTEM REFERENCENO AUTHMITOpen SourceSource: @makemehappy· community reference
Get up to date reference information on Cloudflare
Setup Guide
{
"mcpServers": {
"cloudflare-documentation": {
"type": "http",
"url": "https://docs.mcp.cloudflare.com/mcp"
}
}
}Tools
search_cloudflare_documentation
Search the Cloudflare documentation and return semantically relevant results for products like Workers, Pages, R2, D1, KV, AI, Zero Trust, CDN, DNS, and more.
migrate_pages_to_workers_guide
Provides a required step-by-step guide for migrating Cloudflare Pages projects to Workers, including best practices and compatibility considerations.
Compatibility
About
Cloudflare Documentation MCP Server (Vectorize Powered)
A Model Context Protocol (MCP) server that enables AI agents and MCP clients to query Cloudflare documentation using semantic search powered by Vectorize.
This server connects to a pre-indexed Vectorize database containing Cloudflare documentation and returns relevant results based on meaning rather than keyword matching.
What This Server Does
This MCP server acts as a documentation retrieval layer for AI systems.
Instead of manually searching documentation, an MCP client can query this server and receive context-aware results derived from Cloudflare docs.
The system uses Cloudflare Vectorize, a distributed vector database designed for semantic search and AI workloads.
How It Works
- Documentation is indexed into a Vectorize database
- Queries are converted into embeddings
- Vector similarity search retrieves relevant content
- Results are returned to the MCP client
This enables AI agents to access up-to-date documentation dynamically and reduces hallucination.
Available Tools
search_cloudflare_documentation
Category: Cloudflare Documentation
Type: Retrieval Tool
Description:
Search Cloudflare documentation using semantic similarity and return relevant snippets across products like Workers, R2, D1, KV, AI, and Zero Trust.
Example Prompts
- Do Cloudflare Workers costs depend on response size when serving assets from R2
- How many indexes are supported in Workers Analytics Engine
- How to use Workers AutoRAG binding
- Best way to cache API responses using Cloudflare
Access the Remote MCP Server
Direct MCP Client Support
If your MCP client supports remote servers, connect using:
[https://docs.mcp.cloudflare.com/mcp](https://docs.mcp.cloudflare.com/mcp)
Using mcp-remote (for unsupported clients)
If your MCP client does not support remote MCP servers, use mcp-remote.
Configuration
json{ "mcpServers": { "cloudflare": { "command": "npx", "args": ["mcp-remote", "https://docs.mcp.cloudflare.com/mcp"] } } }
Setup Steps
- Add the configuration to your MCP client
- Restart the client
- Complete OAuth login in your browser
- Grant access
- Tools will become available
Architecture
- Runtime: Cloudflare Workers
- Database: Vectorize (semantic search)
- Protocol: Model Context Protocol (MCP)
- Transport: HTTP (
/mcpendpoint)
Use Cases
- AI coding assistants querying Cloudflare APIs
- Autonomous agents performing infrastructure tasks
- Developer tools needing real-time documentation access
- Retrieval-Augmented Generation (RAG) pipelines
Running Locally
To run this server locally:
- Set up a Vectorize index
- Configure Cloudflare Workers
- Deploy using Wrangler
Refer to the repository contribution guide for detailed steps.
Summary
This MCP server provides a semantic interface to Cloudflare documentation, enabling AI agents to retrieve accurate, context-aware information in real time.
Install and Troubleshooting Intent Coverage
Developer-install and troubleshooting intent for community MCP server listings.
install mcp server / mcp server setup guide
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Install this server instantly with the AgenticMarket CLI — zero config, auto-detects your IDE.
$npx agenticmarket install cloudflare-documentationMemory
Give your AI assistant persistent memory across conversations. The Memory server stores entities, relations, and observations in a local knowledge graph that persists between sessions.
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Everything MCP Server
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AgenticMarket