How to Use the BotPenguin MCP in Google ADK

Q: Can the BotPenguin tools be filtered when using Google ADK?

You can use the toolnames filter to restrict which tools the agent can see. This is great for keeping your agent focused on specific tasks.

Q: Will my Google ADK agent be able to list BotPenguin tags?

Certainly. The listtags tool is fully supported. It allows your agent to sort leads based on the labels you've already defined in your dashboard.

Use Google ADK to build enterprise support agents that talk to the BotPenguin MCP server.

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Connect BotPenguin MCP to Google ADK

Create your Vinkius account to connect BotPenguin 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 BotPenguin with Google ADK

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Google ADK tools for live chat visibility

Connect your Gemini-powered agents to your support data. The `list_chats` tool lets your agent see what's happening right now across your support channels. When a conversation looks important, use `get_chat_history` to pull the full transcript. Your agent can then reason over the entire dialogue context.

Query BotPenguin contacts via Google ADK

Your enterprise data stays actionable with `list_contacts`. It lets you search your CRM records without building custom API wrappers. If you need specific info, `get_contact` grabs the details you need. It helps your agent provide personalized support to every lead.

Trigger support actions through Google ADK

Execute support workflows by calling `send_message` from your agent logic. It sends responses straight into the active session. Use `send_otp` when you need to confirm identity for a support request. It keeps your security flows tight and automated.

Setup guide

Set up BotPenguin 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 BotPenguin 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="BotPenguin_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BotPenguin tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BotPenguin. 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 BotPenguin MCP in Google ADK

Use the McpToolset provided by the library. Point it at your Vinkius server URL and pass it into the tools list of your LlmAgent.

You can use the tool_names filter to restrict which tools the agent can see. This is great for keeping your agent focused on specific tasks.

Certainly. The `list_tags` tool is fully supported. It allows your agent to sort leads based on the labels you've already defined in your dashboard.

We keep everything in an ephemeral sandbox. No state is persisted on our side once the request cycle finishes.

Email data is handled as standard text input. We use zero-trust protocols to ensure that these contact details only exist within your authorized agent memory.

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