Run ultra-fast LLM inference, speech-to-text, text-to-speech, and batch jobs with Groq's hardware-accelerated API.
Use with AI AssistantsMCP
Connect Claude, Cursor, or any MCP-compatible client — then call tools directly
① Add This MCP Server
Paste into your AI client config — then all its tools are available instantly.
{
"mcpServers": {
"groq": {
"url": "https://mcp.aerostack.dev/s/aerostack/mcp-groq",
"headers": {
"Authorization": "Bearer YOUR_AEROSTACK_TOKEN"
}
}
}
}Replace YOUR_AEROSTACK_TOKEN with your API token from the dashboard.
② Call a Tool
Ask your AI assistant to call a specific tool, or send raw JSON-RPC:
Natural Language Prompt
“Use the _ping tool to verify groq credentials by calling a lightweight read endpoint. used internally by aerostack to validate credentials”
Using a Workspace?
Add this MCP to your Workspace — your team shares one token, secrets are stored securely, and every AI agent in the workspace can call it without per-user setup.
Run ultra-fast LLM inference, speech-to-text, text-to-speech, and batch jobs with Groq's hardware-accelerated API.
Live endpoint: https://mcp.aerostack.dev/s/aerostack/mcp-groq
This MCP server gives AI agents access to Groq via 10 tools. Connect it to any Aerostack workspace and your agents can interact with Groq directly.
| Tool | Description |
|---|---|
chat | Send messages to a Groq-hosted model and receive an ultra-fast response. Supports multi-turn conversations, system prompts, and JSON mode |
list_models | List all available Groq models with metadata including context window size and owner |
transcribe_audio | Transcribe audio to text using Whisper models on Groq. Pass audio as base64-encoded data |
translate_audio | Translate audio to English text using Whisper on Groq. Automatically detects source language |
create_speech | Convert text to speech using Groq PlayAI TTS models. Returns base64-encoded audio |
list_speech_voices | List available voices for Groq PlayAI TTS models |
create_batch | Create a batch inference job for processing multiple requests asynchronously at lower cost |
list_batches | List all batch inference jobs with their status and request counts |
get_batch | Get the current status and details of a specific batch inference job |
cancel_batch | Cancel a pending or in-progress batch inference job |
| Variable | Required | Description |
|---|---|---|
GROQ_API_KEY | Yes | Groq API key from https://console.groq.com/keys |
Add the following secrets under Project → Secrets:
GROQ_API_KEYOnce added, every AI agent in your workspace can use Groq tools automatically.
curl -X POST https://mcp.aerostack.dev/s/aerostack/mcp-groq \
-H 'Content-Type: application/json' \
-H 'X-Mcp-Secret-GROQ-API-KEY: your-groq-api-key' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"chat","arguments":{}}}'
MIT
Live Endpoint
https://mcp.aerostack.dev/s/aerostack/mcp-groq
Sub-50ms globally · Zero cold start
@aerostack
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Yes. The Groq MCP includes a create_speech tool that lets Claude create speeches in your Groq account from a plain-English prompt. You can also update and delete speeches — no Groq UI needed.
Yes. The Groq MCP includes tools to list and retrieve models from your Groq account. Claude can filter, sort, and summarize models based on your instructions.
Yes. The Groq MCP uses the open Model Context Protocol standard, so it works in Claude, Cursor, Windsurf, and any other MCP-compatible AI tool. All 10 Groq tools are available everywhere you connect it — install once on Aerostack.
The Groq MCP exposes Groq's AI capabilities to Claude — including generation, transcription, or embedding tools. Claude can chain these with other MCPs to build multi-step AI workflows.