How to Use the HighRadius MCP in Google ADK

Q: How do I connect the Google ADK to the HighRadius MCP server?

After you pip install google-adk, you'll define a McpToolset and point its StreamableHttpServerParameters to your Vinkius URL. Then you pass that toolset to your LlmAgent and it's ready to go.

Q: Can I limit which HighRadius tools my Gemini agent can use with the Google ADK?

Yes, you can. The McpToolset constructor accepts a toolnames filter. This lets you expose only a specific subset of the HighRadius tools, like listinvoices and getpayment, to a particular agent.

Q: How does this MCP server help with batch processing of invoices?

Your agent can call listinvoices to get a full list of open receivables. It can then loop through them, check for corresponding payments with listpayments, and systematically clear matched pairs using reconcilepayment.

Q: What's the best way to handle payment disputes in HighRadius using the Google ADK?

Have your Gemini agent identify a discrepancy, then call createdispute. It needs to supply the invoice ID, a reason code, and the disputed amount. The tool handles the API call to HighRadius for you.

Connect Gemini to your HighRadius AR data with the Google ADK. Automate financial operations right from your Google Cloud environment.

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Connect HighRadius MCP to Google ADK

Create your Vinkius account to connect HighRadius 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 HighRadius with Google ADK

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Reconcile Payments at Scale

Give your Gemini agent direct access to your HighRadius receivables. Your agent can fetch thousands of records using `list_invoices` and `list_payments`, holding the context to find complex matches. Once it identifies a match—even one payment covering multiple invoices—it executes `reconcile_payment`. This bridges the gap between your financial data and your agent's ability to act on it.

From BigQuery Insight to Action

Your agent doesn't just live in a silo. It can analyze payment trends in BigQuery, then use this MCP server to act on its findings in HighRadius. For instance, if it spots a customer who consistently short-pays, it can automatically pull their record with `get_customer` and flag their account. Or it can use `list_deductions` to find the root cause of recurring issues.

Enterprise-Ready Google ADK Integration

This HighRadius connector is built for enterprise workloads on Google Cloud. Your Gemini agent, running via the Google ADK, gets a single, secure endpoint to the HighRadius API. You don't manage the connection; Vinkius does. Your agent simply calls tools like `get_cash_application_status` to monitor progress or `create_dispute` to handle exceptions. It just works.

Setup guide

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

After you `pip install google-adk`, you'll define a `McpToolset` and point its `StreamableHttpServerParameters` to your Vinkius URL. Then you pass that toolset to your `LlmAgent` and it's ready to go.

Yes, you can. The `McpToolset` constructor accepts a `tool_names` filter. This lets you expose only a specific subset of the HighRadius tools, like `list_invoices` and `get_payment`, to a particular agent.

Your agent can call `list_invoices` to get a full list of open receivables. It can then loop through them, check for corresponding payments with `list_payments`, and systematically clear matched pairs using `reconcile_payment`.

Have your Gemini agent identify a discrepancy, then call `create_dispute`. It needs to supply the invoice ID, a reason code, and the disputed amount. The tool handles the API call to HighRadius for you.

Your data is protected end-to-end. The Vinkius MCP server that powers the connection is ephemeral, meaning no customer, invoice, or payment data is persisted. All traffic is encrypted and authenticated through a single token.

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