Skip to main content
Glama
dhannusch

groq-docs-mcp

by dhannusch

Groq Documentation MCP Server

An MCP (Model Context Protocol) server that provides semantic search over Groq's documentation using Cloudflare AI Search (AutoRAG) with R2 as the data source.

Features

  • search_documentation Tool: Query Groq's API documentation using natural language

  • AI-Powered RAG: Uses Cloudflare AI Search for semantic search and retrieval

  • Fast & Scalable: Built on Cloudflare Workers for global edge deployment

  • MCP Compatible: Works with Claude Desktop and other MCP clients

Related MCP server: Markdown RAG MCP

Setup Instructions

Prerequisites

  1. Cloudflare account with Workers enabled

  2. Wrangler CLI installed: npm install -g wrangler

  3. Authenticated with Wrangler: wrangler login

1. Install Dependencies

npm install

2. Install and Configure Rclone

Install rclone for fast bulk uploads:

brew install rclone  # macOS
# Or: curl https://rclone.org/install.sh | sudo bash  # Linux

Configure rclone for R2:

rclone config
# Choose 'n', name: 'r2', storage: 5, provider: 24
# Enter your Account ID and R2 API Token

3. Create R2 Bucket

wrangler r2 bucket create groq-docs

4. Scrape Documentation

Set up Browser Rendering API credentials:

export CLOUDFLARE_ACCOUNT_ID="your-account-id"
export CLOUDFLARE_API_TOKEN="your-api-token"

Run the scraper:

npm run scrape

This will:

  • Use Browser Rendering API for clean content extraction

  • Scrape all pages from https://console.groq.com/docs

  • Save locally to ./scraped-docs/

  • Bulk upload to R2 using rclone

Note: Takes several minutes depending on page count.

5. Configure AI Search (Manual)

In the Cloudflare Dashboard:

  1. Go to AI > AI Search

  2. Create a new AI Search instance named groq-docs-ai-search

  3. Configure the data source:

    • Select R2 as the data source

    • Choose the groq-docs bucket

  4. Select embedding and generation models (use defaults)

  5. Set up AI Gateway for monitoring

  6. Assign a Service API token

  7. Wait for indexing to complete (monitor in the AI Search dashboard)

6. Deploy the Worker

Deploy the MCP server to Cloudflare Workers:

npm run deploy

Your server will be available at: groq-docs-mcp.<your-account>.workers.dev/mcp or groq-docs-mcp.<your-account>.workers.dev/sse

Usage

Connect to Claude Desktop

To use this MCP server with Claude Desktop:

  1. Open Claude Desktop settings

  2. Go to Settings > Developer > Edit Config

  3. Add this configuration:

{
  "mcpServers": {
    "groq-docs": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://groq-docs-mcp.<your-account>.workers.dev/sse"
      ]
    }
  }
}
  1. Restart Claude Desktop

Connect to Cloudflare AI Playground

  1. Go to https://playground.ai.cloudflare.com/

  2. Enter your deployed MCP server URL: groq-docs-mcp.<your-account>.workers.dev/sse

  3. Start using the search_documentation tool!

Example Queries

Try asking:

  • "How do I use the Groq API?"

  • "What models are available on Groq?"

  • "How do I implement streaming with Groq?"

  • "What are the rate limits for Groq API?"

  • "How do I use OpenAI compatibility with Groq?"

Development

Local Development

Run the server locally:

npm run dev

The server will be available at http://localhost:8787

Type Checking

Generate types for Cloudflare bindings:

npm run cf-typegen

Check types:

npm run type-check

Code Formatting

Format code with Biome:

npm run format
npm run lint:fix

Project Structure

groq-docs-mcp/
├── src/
│   └── index.ts           # Main MCP server implementation
├── scripts/
│   └── scrape-groq-docs.js # Documentation scraper script
├── scraped-docs/          # Local cache of scraped docs (git-ignored)
├── package.json           # Dependencies and scripts
├── wrangler.jsonc         # Cloudflare Worker configuration
└── README.md             # This file

How It Works

  1. Scraping: Uses Cloudflare Browser Rendering API to extract clean markdown from Groq's documentation

  2. Storage: Documentation is stored as markdown files in R2 (uploaded via rclone)

  3. Indexing: Cloudflare AI Search indexes the R2 content using embeddings

  4. Query: The MCP tool queries the AI Search index and returns relevant documentation snippets

  5. Results: Formatted results include URLs, titles, content, and relevance scores

Troubleshooting

Scraper Issues

If the scraper fails:

  • Check your internet connection

  • Verify Groq's documentation site is accessible

  • Ensure Wrangler is authenticated: wrangler whoami

AI Search Not Working

If searches return no results:

  • Verify the AI Search instance is created and named groq-docs-ai-search

  • Check that indexing is complete in the AI Search dashboard

  • Ensure the R2 bucket contains the scraped files: wrangler r2 object list groq-docs

Worker Deployment Issues

If deployment fails:

  • Verify Wrangler is up to date: npm install -g wrangler@latest

  • Check your Cloudflare account has Workers enabled

  • Ensure the R2 bucket exists: wrangler r2 bucket list

License

MIT

A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dhannusch/groq-docs-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server