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.jsonc with your AI Search name:
```
"vars": {
  "AI_SEARCH_NAME": "your-ai-search-name"
}
```
Install dependencies
```
pnpm install
```
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

MCP Servers