# GroqCloud

> Use this tool when you need to accelerate AI inference with automatic model optimization, or require high-throughput text, audio, or vision analysis with intelligent model selection and caching. It solves problems of slow AI processing, inefficient model usage, and high-volume operation bottlenecks, providing outputs such as completed text, transcribed audio, and analyzed visual data. Ideal for developers, applications, and teams needing fast and optimized AI workflows with support for 20+ models and advanced resource management.

Canonical page: https://skillsregistry.net/skills/ayrtonfelipe-groqcloud  
JSON: https://api.skillsregistry.net/v1/skills/ayrtonfelipe-groqcloud

## Description

This MCP server provides AI assistants with comprehensive access to Groq's high-speed AI inference API, built using TypeScript with intelligent model selection, rate limiting, and caching capabilities. The implementation offers tools for text completion with automatic model optimization based on task complexity (speed vs quality vs reasoning), audio transcription using Whisper models, vision analysis with multimodal Llama models, and batch processing for high-volume operations, featuring smart model selection rules that automatically choose optimal models based on prompt characteristics and performance requirements. Built with extensive rate limiting, caching, error handling with retry logic, and support for 20+ Groq models including the latest Llama 3.3, DeepSeek R1, and specialized models for different use cases, it serves developers needing fast AI inference with automatic optimization, applications requiring high-throughput text processing with intelligent model routing, and teams building AI workflows that benefit from Groq's exceptional inference speed combined with sophisticated model selection and resource management.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ayrtonfelipe-groqcloud)
- **Repository:** <https://github.com/ayrtonfelipe/groqcloud-mcp_server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ayrtonfelipe-groqcloud"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ayrtonfelipe-groqcloud` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ayrtonfelipe-groqcloud/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt