How to Use the DebtPayPro MCP in Google ADK

Q: How do I add the DebtPayPro MCP Server to Google ADK?

You instantiate McpToolset with your server's HTTP parameters. Then, include this toolset in your LlmAgent definition to make the functions available.

Q: Does Google ADK support filtering tools from DebtPayPro?

Yes. You can pass a toolnames list to the McpToolset constructor. This restricts the agent to only the functions you explicitly authorize.

Bring DebtPayPro CRM data into your Google ADK agent logic.

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Connect DebtPayPro MCP to Google ADK

Create your Vinkius account to connect DebtPayPro 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 DebtPayPro with Google ADK

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Direct DebtPayPro access for Google ADK

The `McpToolset` links your agent to the DebtPayPro API. Your agent gains the ability to query specific customer profiles using `get_contact_details`. It processes large datasets by calling `list_crm_contacts` and filtering results locally. This works well for agents managing high-volume client lists.

Monitor financial statuses with an MCP Server

Your agent tracks settlement progress by calling `list_contact_debts`. It interprets the current balance and status to provide updates to your team. Financial planning becomes proactive when the agent runs `list_upcoming_payments`. This tool provides the raw data needed to forecast payment schedules.

Automate sales tracking in Google ADK

Your agent parses sales data by invoking `list_sales_opportunities`. It maps current deals to your internal CRM records for better reporting. Task tracking is handled via `list_crm_tasks`. The agent identifies pending follow-ups and organizes them based on due dates.

Setup guide

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

You instantiate `McpToolset` with your server's HTTP parameters. Then, include this toolset in your `LlmAgent` definition to make the functions available.

Yes. You can pass a tool_names list to the `McpToolset` constructor. This restricts the agent to only the functions you explicitly authorize.

Absolutely. Because the agent can process large responses from the API, it handles complex debt settlement histories without truncating data.

Yes, the server supports both Stdio and HTTP transports. Select the transport that best fits your specific Google Cloud deployment environment.

All traffic is routed through Vinkius's managed infrastructure using ephemeral tokens. Your debt settlement identifiers and contact records are processed within a secure, isolated sandbox.

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