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Groq MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Analyze Sentiment, Create Chat Completion, Explain Code, and more

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Groq through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Groq app connector for OpenAI Agents SDK is a standout in the Ai Frontier category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Groq Assistant",
            instructions=(
                "You help users interact with Groq. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Groq"
        )
        print(result.final_output)

asyncio.run(main())
Groq
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Groq MCP Server

Connect your Groq Cloud account to any AI agent and leverage the incredible speed of LPU™ (Language Processing Unit) technology for real-time inference and content generation.

The OpenAI Agents SDK auto-discovers all 10 tools from Groq through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Groq, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Chat Orchestration — Generate high-speed chat completions using state-of-the-art models like Llama 3.3 and Mixtral with sub-second latency
  • Model Intelligence — List all available high-performance models and retrieve detailed metadata regarding ownership and capabilities
  • Text Processing — Programmatically summarize long documents, analyze sentiment, and translate text between languages instantly
  • Developer Automation — Generate optimized code snippets, explain complex logic, and perform grammar correction through natural language
  • Entity Extraction — Identify and extract structured information (names, dates, locations) from unstructured text as JSON objects

The Groq MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Groq tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Groq through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-inference, lpu-hardware, real-time-ai, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

analyze_sentiment

Analyze sentiment of a text

create_chat_completion

Supports models like llama-3.3-70b-versatile. Generate a response using Groq LLM

explain_code

Explain how a code snippet works

extract_entities

Extract named entities from text

fix_grammar

Correct grammar and spelling errors

generate_code

Generate code snippets from natural language

get_model_details

Get metadata for a specific model

list_available_models

List all available high-performance models

summarize_text

Summarize long text using Llama 3

translate_text

Translate text between languages

Connect Groq to OpenAI Agents SDK via MCP

Follow these steps to wire Groq into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 10 tools from Groq

Why Use OpenAI Agents SDK with the Groq MCP Server

OpenAI Agents SDK provides unique advantages when paired with Groq through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Groq + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Groq MCP Server delivers measurable value.

01

Automated workflows: build agents that query Groq, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Groq, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Groq tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Groq to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Groq in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Groq immediately.

01

"Summarize this long technical document: [text]"

02

"Generate a Python script for real-time data visualization."

03

"Analyze the sentiment of this user feedback: 'The speed is amazing but the UI needs work'."

Troubleshooting Groq MCP Server with OpenAI Agents SDK

Common issues when connecting Groq to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Groq + OpenAI Agents SDK FAQ

Common questions about integrating Groq MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.