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Groq MCP Server

@groq

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

groq

About Groq MCP Server

Groq MCP server

#managed-by-terraform

Groq MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "groq-mcp-server": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Groq MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Groq MCP Server?

A Model Context Protocol (MCP) server that provides access to Groq’s lightning-fast model inference, including chat, vision, text-to-speech, speech-to-text, batch processing, and agentic tools. It is designed for developers using MCP clients like Claude Desktop to integrate Groq’s API capabilities directly into their workflows.

How to use Groq MCP Server?

Requires a free Groq API key and Python with uv (or pip). For Claude Desktop, add the server configuration to claude_desktop_config.json using uvx groq-mcp and your API key. For other clients, install the package and run groq-mcp-config to generate configuration. Optional BASE_OUTPUT_PATH environment variable sets where generated files are saved.

Key features of Groq MCP Server

  • Ultra-fast LLM inference with Groq models
  • Vision – image analysis and understanding
  • Text-to-speech (TTS) – natural speech synthesis
  • Speech-to-text (STT) – transcription and translation
  • Batch processing – process large workloads efficiently
  • Agentic tool usage (compound-beta) for web search, code generation, and API calls

Use cases of Groq MCP Server

  • Perform agentic tasks combining web search, code execution, and data retrieval
  • Analyze images and extract structured information (e.g., JSON)
  • Convert text to speech or transcribe audio files in multiple languages
  • Process high-volume batch prompts via JSONLines files
  • Build applications with full access to Groq’s documentation and models

Frequently asked questions

1

What prerequisites are needed to run Groq MCP Server?

A Groq API key (free from console.groq.com), Python, and either `uv` or `pip` for installation. For Claude Desktop, you need the Developer Mode enabled on Windows.

2

How do I install the server for Claude Desktop?

Add the configuration shown in the README to `claude_desktop_config.json` using `uvx groq-mcp` and set the `GROQ_API_KEY` environment variable. On macOS, a setup script can install it automatically.

3

What client applications are supported?

Works with any MCP client, including Claude Desktop, Cursor, and Windsurf. Installation instructions differ; for non-Claude clients use `groq-mcp-config` to generate the config.

4

Where can I find server logs?

Logs are stored at `~/Library/Logs/Claude/groq-mcp.log` on macOS and `%APPDATA%\Claude\logs\groq-mcp.log` on Windows.

5

Can I run the server from source?

Yes. Clone the repository, run `./scripts/setup.sh` (or manually create a virtual environment and install dependencies), then use `mcp install server.py` to register the server.

Comments

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