# GroqCloud — MCP server on mcp.ai
> Connect your GroqCloud account and use 7 tools for AI models straight from your AI agent. Connect with your own API key. GroqCloud provides high-performance AI inference services, enabling developers to deploy and manage AI models efficiently.

By: mcp.ai · official
Page: https://mcp.ai/groqcloud

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_groqcloud?ms=1787293500000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/groqcloud/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/groqcloud/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/groqcloud/skill.md
Postman collection (v2.1): https://mcp.ai/groqcloud/postman.json

## Tools
- groqcloud_create_audio_transcription(file: object, model?: string, prompt?: string, language?: string, temperature?: number, response_format?: string, timestamp_granularities?: string[]) — Tool to transcribe audio into text in the same language as the audio. Use when you need to convert speech to text while preserving the original language. Supports multiple formats including mp3, mp4, 
- groqcloud_create_response(text?: object, user?: string, input: string|object[], model: string, store?: boolean, tools?: object[], top_p?: number, stream?: boolean, metadata?: object, reasoning?: object, truncation?: string, temperature?: number, tool_choice?: string|object, instructions?: string, service_tier?: string, max_output_tokens?: integer, parallel_tool_calls?: boolean) — Tool to create a model response for the given input. Beta endpoint with simplified interface compared to chat completions. Use when you need a streamlined API for generating model responses.
- groqcloud_groq_create_audio_translation(file: object, model?: string, prompt?: string, temperature?: number, response_format?: string) — Tool to translate an audio file into English text. Use when you have a non-English recording and need an accurate English transcript. Use after confirming the file path.
- groqcloud_groq_create_chat_completion(n?: integer, stop?: string|string[], user?: string, model: string, top_p?: number, messages: object[], temperature?: number, max_completion_tokens?: integer) — Tool to generate a chat-based completion for a conversation. Use when you have a list of prior messages and need the model's next reply. Response completion text is at choices[0].message.content in th
- groqcloud_groq_retrieve_model(model: string) — Tool to retrieve detailed information about a specific model. Use after listing models when you need metadata for a chosen model. Returned metadata may change as models update; do not cache.
- groqcloud_list_models() — Tool to list all available models and their metadata. Always call this to retrieve current model IDs rather than using hard-coded or cached identifiers, as deprecated names cause failures in GROQCLOUD
- groqcloud_list_voices() — Tool to retrieve available TTS voices for Groq PlayAI models. Use when you need to discover voice options before calling text-to-speech. Note: static list maintained manually; no live endpoint exists.

## Example prompts
- "What can I do in GroqCloud?"
- "Show me a summary of my GroqCloud account"

## Links
Docs: https://mcp.ai/docs/mcps/groqcloud
Website: https://mcp.ai/mcps/groqcloud