Groq MCP Server for Google ADKGive Google ADK instant access to 10 tools to Analyze Sentiment, Create Chat Completion, Explain Code, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Groq as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Groq app connector for Google ADK 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
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_alternative_agent",
instruction=(
"You help users interact with Groq "
"using 10 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 Cloud account to any AI agent and leverage the incredible speed of LPU™ (Language Processing Unit) technology for real-time inference and content generation.
Google ADK natively supports Groq as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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
- 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 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.
All 10 Groq tools available for Google ADK
When Google ADK 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 of a text
Supports models like llama-3.3-70b-versatile. Generate a response using Groq LLM
Explain how a code snippet works
Extract named entities from text
Correct grammar and spelling errors
Generate code snippets from natural language
Get metadata for a specific model
List all available high-performance models
Summarize long text using Llama 3
Translate text between languages
Connect Groq to Google ADK via MCP
Follow these steps to wire Groq into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
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
Example Prompts for Groq in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Groq immediately.
"Summarize this long technical document: [text]"
"Generate a Python script for real-time data visualization."
"Analyze the sentiment of this user feedback: 'The speed is amazing but the UI needs work'."
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.