Groq MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Groq as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="groq_agent",
instruction=(
"You help users interact with Groq "
"using 8 available tools."
),
tools=[mcp_tools],
)
* 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 account to any AI agent and take full control of your high-speed generative AI inference and LPU-accelerated LLM workflows through natural conversation.
Google ADK natively supports Groq as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- LPU Chat Orchestration — Execute blazing-fast text generation against hardware-accelerated Groq endpoints, utilizing Llama 3, Mixtral, and more flawlessly
- Intelligent Audio Transcription — Parse audio streams into high-accuracy language transcripts utilizing hardware-optimized Whisper models natively
- Cross-Lingual Translation — Evaluate non-English audio files and retrieve immediate translations exclusively into English text synchronousy
- Structured JSON Mode — Constrain AI text inference explicitly to rigid valid JSON formatting to automate data population and system integrations flawlessly
- Tool & Function Calling — Bind external definitions resolving explicit function call JSON architectures to enable your AI agents to interact with tools securely
- Model Discovery — Enumerate available high-speed models and retrieve specific model IDs and versions for precise active inference boundaries natively
- Inference Auditing — Monitor model capabilities and metadata properties to ensure your AI agents are utilizing the most efficient architectural instances synchronousy
The Groq MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Groq to Google ADK via MCP
Follow these steps to integrate the Groq MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from Groq via MCP
Why Use Google ADK with the Groq MCP Server
Google ADK provides unique advantages when paired with Groq through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Groq
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Groq tools with BigQuery, Vertex AI, and Cloud Functions
Groq + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Groq MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Groq and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Groq tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Groq regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Groq
Groq MCP Tools for Google ADK (8)
These 8 tools become available when you connect Groq to Google ADK via MCP:
chat_completion
Supports Llama, Mixtral, Gemma models. Generate a chat completion with ultra-fast inference
create_embedding
Create text embeddings
get_model
Get model details
list_models
List available models
moderate_content
Check content for safety
structured_output
Generate structured JSON output
transcribe_audio
Transcribe audio to text
translate_audio
Translate audio to English text
Example Prompts for Groq in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Groq immediately.
"Ask llama3-70b: 'Write a python function to scrape a website.'"
"Transcribe this audio meeting: https://example.com/meeting.mp3"
"Get model info for 'mixtral-8x7b-32768'"
Troubleshooting Groq MCP Server with Google ADK
Common issues when connecting Groq to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkGroq + Google ADK FAQ
Common questions about integrating Groq MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Groq with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Groq to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.