GroqCloud Automation

Automate GroqCloud operations via MCP.

Install

npx promptshop add GroqCloud

Details

AutomationAuto-detects your installed agents and installs the skill to each one.

What This Skill Does

The GroqCloud Automation skill allows users to automate AI inference workflows using the GroqCloud API. It provides tools for model discovery, chat completions, and inspecting model details. This is useful for developers and researchers who want to programmatically interact with GroqCloud's ultra-fast AI inference capabilities.

When to Use

Discover available models before running inference. Generate AI responses for conversational prompts. Inspect model details like context window size. Automate audio translation workflows. Automate TTS voice selection. Build AI-powered chatbots.

Key Features

Lists available GroqCloud models. Generates chat completions using specified models. Retrieves detailed metadata for specific models. Supports streaming responses. Configurable temperature and token limits. Integrates with Composio MCP.

Manual Installation

Manual installationView Full Skill ContentThe complete markdown content that gets installedGroqCloud Automation Automate AI inference workflows using GroqCloud's ultra-fast API -- chat completions, model discovery, audio translation, and TTS voice selection -- all orchestrated through the Composio MCP integration. Toolkit docs: composio.dev/toolkits/groqcloud

Setup

Connect your GroqCloud account through the Composio MCP server at https://rube.app/mcp The agent will prompt you with an authentication link if no active connection exists Once connected, all GROQCLOUD_* tools become available for execution

Core Workflows

1. Discover Available Models

List all models available on GroqCloud to find valid model IDs before running inference. Tool: GROQCLOUD_LIST_MODELS No parameters required -- returns all available models with metadata. Use this as a prerequisite before any chat completion call to ensure you reference a valid, non-deprecated model ID.

2. Run Chat Completions

Generate AI responses for conversational prompts using a specified GroqCloud model. Tool: GROQCLOUD_GROQ_CREATE_CHAT_COMPLETION

Parameter	Type	Required	Description
model	string	Yes	Model ID from GROQCLOUD_LIST_MODELS
messages	array	Yes	Ordered list of {role, content} objects (system, user, assistant)
temperature	number	No	Sampling temperature 0-2 (default: 1)
max_completion_tokens	integer	No	Max tokens to generate
top_p	number	No	Nucleus sampling 0-1 (default: 1)
stop	string/array	No	Up to 4 stop sequences
stream	boolean	No	Enable SSE streaming (default: false)

3. Inspect Model Details

Retrieve detailed metadata for a specific model including context window and capabilities. Tool: GROQCLOUD_GROQ_RETRIEVE_MODEL

Parameter	Type	Required	Description
model	string	Yes	Model identifier (e.g., groq-1-large)

4. Translate Audio to English

Translate non-English audio files into English text using Whisper models. Tool: GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION

Parameter	Type	Required	Description
file_path	string	Yes	Local path, HTTP(S) URL, or base64 data URL for audio
model	string	No	Model ID (default: whisper-large-v3). Note: whisper-large-v3-turbo may not support translations
response_format	string	No	json, verbose_json, or text (default: json)
temperature	number	No	Sampling temperature 0-1 (default: 0)

5. List TTS Voices

Enumerate available text-to-speech voices for Groq PlayAI models to drive voice selection UX. Tool: GROQCLOUD_LIST_VOICES Returns the set of supported TTS voices. Note: this is a static list maintained manually.

Known Pitfalls

Pitfall	Details
Nested model list	GROQCLOUD_LIST_MODELS response may be nested at response['data']['data'] -- do not assume a flat top-level array
Hard-coded model IDs break	Always fetch model IDs dynamically via GROQCLOUD_LIST_MODELS; hard-coded names can break when models are deprecated or renamed
Audio format validation	GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION rejects invalid or unsupported audio formats silently -- validate inputs before calling
Model metadata drifts	Data from GROQCLOUD_GROQ_RETRIEVE_MODEL (context window, features) can change as models update -- do not treat it as static
TTS voice changes	Voice sets from GROQCLOUD_LIST_VOICES may shrink or rename over time -- handle missing voices gracefully

Quick Reference

Tool Slug	Purpose
GROQCLOUD_LIST_MODELS	List all available models and metadata
GROQCLOUD_GROQ_CREATE_CHAT_COMPLETION	Generate chat-based AI completions
GROQCLOUD_GROQ_RETRIEVE_MODEL	Get detailed info for a specific model
GROQCLOUD_GROQ_CREATE_AUDIO_TRANSLATION	Translate non-English audio to English text
GROQCLOUD_LIST_VOICES	Retrieve available TTS voices for PlayAI
Automate AI inference workflows using GroqCloud's ultra-fast API -- chat completions, model discovery, audio translation, and TTS voice selection -- all orchestrated through the Composio MCP integration.
Toolkit docs: composio.dev/toolkits/groqcloud