docs-to-mcp
Provides tools to search and retrieve documentation from Cloudflare AI Search (AutoRAG) instances, enabling AI agents to query documentation sets stored in Cloudflare R2 buckets.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@docs-to-mcpSearch the documentation for how to configure the API."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
docs-to-mcp
A Cloudflare Worker that turns any AI Search (AutoRAG) instance into an MCP server.
Setup
Create an AI Search instance in the Cloudflare dashboard
Create a R2 bucket and upload all your docs files - markdown, pdfs, text files etc.
Go to Computer & AI > AI Search(AutorRAG)
Create a new AI Search instance and select the R2 bucket as source (the one you previously created), just select the defaults.
Configure the Worker
Update
wrangler.jsoncwith your AI Search name:"vars": { "AI_SEARCH_NAME": "your-ai-search-name" }Install dependencies
pnpm installDeploy
pnpm run deploy
Related MCP server: sakutto-mcp-server
Usage
MCP Endpoints
Endpoint | Transport | Description |
| Streamable HTTP | Standard MCP HTTP transport |
How did I test this.
I trained it on a fictional TypeScript framework with APIs named after my cat, Ustaad, so I would know it's not hallucinating, you can find these files in fake-knowledge.md
Available Tools
search_docs
Search the documentation and return relevant chunks.
Parameters:
query(required): The search querymax_results(optional): Maximum results (1-50, default 10)rewrite_query(optional): Rewrite query for better retrievalscore_threshold(optional): Minimum score threshold (0-1)
ai_search_docs
Search documentation and get an AI-generated response with sources.
Parameters: Same as search_docs
Connect from MCP Clients
Claude Desktop / Cursor / etc:
{
"mcpServers": {
"docs": {
"command": "npx",
"args": ["mcp-remote", "https://your-worker.workers.dev/mcp"]
}
}
}Direct remote MCP (if client supports it):
https://your-worker.workers.dev/mcpLocal Development
npm run devThis server cannot be deployed
Maintenance
Related MCP Connectors
Cloudflare Workers MCP server: ai-model-router
Cloudflare Workers MCP server: ai-gateway
Cloudflare Workers MCP server: ai-guardrails
Cloudflare Workers MCP server: embedding-search
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