AgenticMarketCloudflare 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
mcp json config example / vscode mcp setup
mcp server not working / mcp tools not showing
mcp server compatibility matrix / cursor vs vscode mcp compatibility
mcp server monetization options / convert community mcp server to paid listing
Related Setup, Debug, and Learning Links
Agent connected but tools ignored
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CLI installation guide
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Using servers guide
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Cursor setup walkthrough
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Troubleshooting: server not working
Common failure modes for install and runtime issues.
Troubleshooting: tools not showing
Covers discovery/listing failures across major IDEs.
Related explore entry: Brave Search
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Install this server instantly with the AgenticMarket CLI — zero config, auto-detects your IDE.
$npx agenticmarket install cloudflare-documentationBrave Search
Empower your AI assistant with the ability to search the web and retrieve local context using the Brave Search API.
Context7
Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source.
Fetch MCP Server
Give your AI assistant the ability to read any web page. The official Fetch server converts HTML to markdown so your LLM can process web content, read documentation, and scrape data in real time.
Filesystem MCP Server
Give your AI assistant read and write access to local files and directories. The most-used MCP server — lets Claude, Cursor, and other AI tools work with your filesystem directly.