How to Use the Happyrobot MCP in Google ADK

Q: How do I configure the Happyrobot toolset in Google ADK?

Instantiate McpToolset using your Vinkius HTTP URL. Pass that toolset into the tools parameter of your LlmAgent to expose happyrobotinfo to Gemini.

Q: Can I limit which Happyrobot tools Google ADK can access?

Yes, use the toolnames filter when setting up your toolset. This ensures your Gemini agent only sees the happyrobotinfo tool and nothing else.

Connect Happyrobot to your Gemini agents to analyze massive CRM call logs via MCP using Google ADK.

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Connect Happyrobot MCP to Google ADK

Create your Vinkius account to connect Happyrobot to Google ADK 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 Happyrobot with Google ADK

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Long-context CRM analysis with Gemini and Google ADK

Gemini models handle millions of tokens of context when your Google ADK agent calls `happyrobot_info`. It can feed hours of voice call transcripts directly into the model's active memory. You don't need to chunk the Happyrobot response before feeding it to your Gemini agent. The agent processes the raw CRM data alongside your BigQuery tables to find hidden sales patterns.

Native GCP data pipelines using this MCP Server

Google ADK lets you use this MCP integration to pull raw CRM logs, then pipe them directly into Vertex AI pipelines. The framework manages the transport layers to connect Happyrobot directly to Gemini. This setup removes the need for custom middleware or API wrappers. You write standard Python code and let the ADK handle the connection details.

Strict tool filtering for enterprise security

Google ADK lets you restrict your agent to just the `happyrobot_info` tool to keep your GCP environment safe. This limits the blast radius of your conversational AI. This ensures your Gemini agent only sees the Happyrobot tool and nothing else. You prevent the model from calling arbitrary endpoints or leaking sensitive enterprise details.

Setup guide

Set up Happyrobot MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Happyrobot tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Happyrobot_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Happyrobot tools via MCP.",
    tools=mcp_tools,
)

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 Happyrobot. 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 Happyrobot MCP in Google ADK

Yes, you can combine the Happyrobot MCP Server with your BigQuery tools. This lets Gemini analyze your CRM logs and warehouse data in the same turn.

Instantiate `McpToolset` using your Vinkius HTTP URL. Pass that toolset into the `tools` parameter of your `LlmAgent` to expose `happyrobot_info` to Gemini.

It does. You can connect to Happyrobot using either standard input/output or streamable HTTP transport depending on your deployment architecture.

Yes, use the `tool_names` filter when setting up your toolset. This ensures your Gemini agent only sees the `happyrobot_info` tool and nothing else.

The integration runs inside a zero-trust, ephemeral sandbox. Your CRM lead data is processed in memory during the agent's execution cycle and is wiped immediately after.

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