Groq MCP Server

Created By
groqa year ago
Groq MCP server
Overview

What is Groq MCP Server?

Groq MCP Server is a platform that allows users to query models hosted on Groq for fast inference, utilizing the Model Context Protocol (MCP) to access various AI capabilities including vision and speech processing.

How to use Groq MCP Server?

To use Groq MCP Server, obtain a Groq API key, install the necessary packages, and configure your MCP client to connect to the Groq server. You can then send requests for tasks such as image analysis or text-to-speech conversion.

Key features of Groq MCP Server?

  • Fast inference for vision and speech models
  • Batch processing capabilities for handling multiple requests
  • Easy integration with various MCP clients
  • Support for advanced image analysis and natural language processing

Use cases of Groq MCP Server?

  1. Analyzing images to extract key information.
  2. Converting text to speech in various languages.
  3. Transcribing audio files into text.
  4. Processing large batches of prompts efficiently.

FAQ from Groq MCP Server?

  • What types of models can I access?

    You can access vision models for image analysis and speech models for text-to-speech and speech-to-text tasks.

  • Is there a cost to use Groq MCP Server?

    Groq MCP Server is free to use with a Groq API key.

  • How do I troubleshoot issues?

    Logs can be found in specific directories depending on your operating system, which can help diagnose problems.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
groq
Star
2
Language
Python
License
MIT license

Recommend Servers

View All
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

8 hours ago