How to Use the Moneypenny MCP in Google ADK

Q: How do I configure the Moneypenny MCP Server inside the Google ADK?

Install the package, then use McpToolset with your HTTP server parameters. Pass this toolset to your LlmAgent to instantly expose tools like gettodaycalls to Gemini.

Q: Can I filter which Moneypenny tools are exposed to my Google ADK agent?

Yes, you can pass a list of allowed tool names to your McpToolset instance. This prevents Gemini from calling sensitive tools like listcallmessages if you only want it reading summaries.

Bring live human receptionist logs directly into your Google ADK pipelines to analyze customer calls with Gemini.

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Connect Moneypenny MCP to Google ADK

Create your Vinkius account to connect Moneypenny 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 Moneypenny with Google ADK

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Long-context call analysis

Gemini's million-token context window in the Google ADK shines when you feed it massive datasets. By calling `get_this_month_calls`, your agent can ingest a whole month of receptionist logs to spot recurring customer complaints. You can also use `get_this_week_calls` to feed weekly call trends directly into your BigQuery dataset. This lets you combine live receptionist data with your existing enterprise databases.

Live chat tracking with Google ADK

Keep your enterprise agents updated on customer interactions by letting them run `get_today_chats` to fetch active chat sessions. This ensures your sales agents have context before they reach out to a lead. If you need to audit a specific conversation, the agent can invoke `list_chat_logs` with precise date filters. The Google ADK structures this data so it can be passed directly to Vertex AI tools.

Real-time operational status checks with MCP Server

This MCP Server allows your enterprise agents to verify system availability using `check_moneypenny_status` before running heavy analysis. This prevents wasted token usage on failed API calls. Your agent can also query `get_activity_summary` to compile daily performance updates. It writes these summaries directly to Google Cloud Storage for your operations team to review.

Setup guide

Set up Moneypenny 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 Moneypenny 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="Moneypenny_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Moneypenny 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 Moneypenny. 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 Moneypenny MCP in Google ADK

Install the package, then use `McpToolset` with your HTTP server parameters. Pass this toolset to your `LlmAgent` to instantly expose tools like `get_today_calls` to Gemini.

Yes, you can pass a list of allowed tool names to your `McpToolset` instance. This prevents Gemini from calling sensitive tools like `list_call_messages` if you only want it reading summaries.

Gemini's large context window easily handles long outputs from `list_chat_logs`. The model reads the entire transcript history without needing aggressive chunking or vector search.

Yes, the toolset supports both transport layers. You can run the server locally via Stdio for testing or host it on Google Cloud Run using HTTP.

Yes, the raw call records and live chat transcripts fetched via `get_recent_chats` stay within your Google Cloud boundary. Vinkius handles the API token securely, meaning your keys are never exposed to the LLM.

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