Modal (Serverless AI Infrastructure) MCP Server for Google ADK 7 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Modal (Serverless AI Infrastructure) as an MCP tool provider through 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="modal_serverless_ai_infrastructure_agent",
instruction=(
"You help users interact with Modal (Serverless AI Infrastructure) "
"using 7 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 Modal (Serverless AI Infrastructure) MCP Server
Connect your Modal account to any AI agent and take full control of your high-performance AI infrastructure, serverless GPU deployments, and persistent storage through natural conversation.
Google ADK natively supports Modal (Serverless AI Infrastructure) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 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
- App Orchestration — List isolated active and historical Modal app contexts to track function execution states and resource allocation directly from your agent
- Deployment Management — Enumerate promoted long-running deployments and retrieve detailed web endpoints and serving configurations securely
- Operational Control — Force stop actively running Modal app executions gracefully via App ID to prevent unnecessary billing cycles and manage system resources natively
- Security & Secret Audit — List stored secret dictionary references and verify environment variable mappings attached to your serverless functions securely
- Storage Visibility — Monitor persisted disk network block volumes and data mount directories used across your distributed compute instances
- Infrastructure Inspection — Deep-dive into specific App or Deployment IDs to retrieve precise JSON metadata representing your infrastructure's current state vectors
The Modal (Serverless AI Infrastructure) MCP Server exposes 7 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 Modal (Serverless AI Infrastructure) to Google ADK via MCP
Follow these steps to integrate the Modal (Serverless AI Infrastructure) 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 7 tools from Modal (Serverless AI Infrastructure) via MCP
Why Use Google ADK with the Modal (Serverless AI Infrastructure) MCP Server
Google ADK provides unique advantages when paired with Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure)
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 Modal (Serverless AI Infrastructure) tools with BigQuery, Vertex AI, and Cloud Functions
Modal (Serverless AI Infrastructure) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Modal (Serverless AI Infrastructure) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Modal (Serverless AI Infrastructure) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Modal (Serverless AI Infrastructure) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Modal (Serverless AI Infrastructure) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Modal (Serverless AI Infrastructure)
Modal (Serverless AI Infrastructure) MCP Tools for Google ADK (7)
These 7 tools become available when you connect Modal (Serverless AI Infrastructure) to Google ADK via MCP:
get_app
Get static specifics of an exact Modal App ID
get_deployment
Get an explicitly tracked deployment detail mapped bound
list_apps
List isolated active/historical Modal Apps contexts
list_deployments
List strictly managed Modal platform explicitly promoted deployments
list_secrets
List static secret dictionary configuration references
list_volumes
List Modal persisted disk network block volumes
stop_app
Force stop an actively running explicit Modal App execution
Example Prompts for Modal (Serverless AI Infrastructure) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Modal (Serverless AI Infrastructure) immediately.
"List all active Modal apps running in my account"
"Force stop Modal app ID 'ap-123'"
"Show me all persistent volumes configured in my workspace"
Troubleshooting Modal (Serverless AI Infrastructure) MCP Server with Google ADK
Common issues when connecting Modal (Serverless AI Infrastructure) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkModal (Serverless AI Infrastructure) + Google ADK FAQ
Common questions about integrating Modal (Serverless AI Infrastructure) 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 Modal (Serverless AI Infrastructure) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Modal (Serverless AI Infrastructure) to Google ADK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.