docs-to-mcp

docs-to-mcp

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.

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README

docs-to-mcp

A Cloudflare Worker that turns any AI Search (AutoRAG) instance into an MCP server.

Setup

  1. 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.
  2. Configure the Worker

    Update wrangler.jsonc with your AI Search name:

    "vars": {
      "AI_SEARCH_NAME": "your-ai-search-name"
    }
    
  3. Install dependencies

    pnpm install
    
  4. Deploy

    pnpm run deploy
    

Usage

MCP Endpoints

Endpoint Transport Description
/mcp 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 query
  • max_results (optional): Maximum results (1-50, default 10)
  • rewrite_query (optional): Rewrite query for better retrieval
  • score_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/mcp

Local Development

npm run dev

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