How to Use the Groq MCP in CrewAI

Deploy a high-speed Groq crew to handle your autonomous tasks.

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Connect Groq MCP to CrewAI

Create your Vinkius account to connect Groq to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Groq with CrewAI

Ask AI about this MCP

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Claude

Perplexity

High-velocity Groq chat for crews

Equip your agents with `chat_completion` to handle research or analysis tasks in milliseconds. It turns your crew into a high-throughput machine. Because it's LPU-accelerated, your agents finish their cycles faster. You spend less time waiting for responses and more time executing tasks.

Groq audio transcription for agents

Give your agents ears with `transcribe_audio`. Your crew can now process meeting recordings or voice memos as part of their autonomous workflow. Just pass the audio file to the tool. The agent gets the text back and starts its work immediately.

Tool filtering for Groq in CrewAI

Use the tool_filter to give specific agents access only to the Groq tools they actually need. It keeps your agents focused and reduces noise. You define the scope at the agent level. One agent handles audio, while another handles structured JSON, keeping the crew organized.

Setup guide

Set up Groq MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Groq tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Groq Analyst",
    goal="Access and analyze Groq data via MCP.",
    backstory="Expert analyst with direct Groq access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Groq transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Groq Analyst",
        goal="Access and analyze Groq data via MCP.",
        backstory="Expert analyst with direct Groq access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Groq transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Groq. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Groq MCP in CrewAI

You add the server URL to your agent's MCP list. Once connected, your CrewAI agents can call Groq tools by name during their task execution.

The server's speed makes sequential tasks feel instantaneous. You can chain multiple Groq calls across your agents without incurring the usual latency penalties.

The tools interact with your agents' memory by returning data directly into the shared state. Your agents can build on previous Groq outputs without re-requesting.

Yes, you can expose different subsets of the Groq MCP server to different agents. This allows for specialized roles within your crew.

The server operates in a zero-trust sandbox. It only processes the text and audio you send for the current turn, with no persistent logs of your agent's private interactions.

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