Happyrobot MCP Server for Google ADK 1 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Happyrobot 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="happyrobot_agent",
instruction=(
"You help users interact with Happyrobot "
"using 1 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 Happyrobot MCP Server
Connect Happyrobot to any AI agent via MCP.
How to Connect Happyrobot to Google ADK via MCP
Follow these steps to integrate the Happyrobot 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 1 tools from Happyrobot via MCP
Why Use Google ADK with the Happyrobot MCP Server
Google ADK provides unique advantages when paired with Happyrobot 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 Happyrobot
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 Happyrobot tools with BigQuery, Vertex AI, and Cloud Functions
Happyrobot + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Happyrobot MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Happyrobot and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Happyrobot tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Happyrobot regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Happyrobot
Happyrobot MCP Tools for Google ADK (1)
These 1 tools become available when you connect Happyrobot to Google ADK via MCP:
happyrobot_info
Get information from Happyrobot
Example Prompts for Happyrobot in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Happyrobot immediately.
"Trigger a check-call for load #1045."
"List all pending inbound requests from carriers today."
"Summarize the call logs for the past 24 hours."
Troubleshooting Happyrobot MCP Server with Google ADK
Common issues when connecting Happyrobot to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHappyrobot + Google ADK FAQ
Common questions about integrating Happyrobot 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 Happyrobot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Happyrobot to Google ADK
Get your token, paste the configuration, and start using 1 tools in under 2 minutes. No API key management needed.