How to Use the Fee Navigator MCP in Google ADK

Connect Fee Navigator to Google ADK. Build enterprise agents that analyze merchant fees using Gemini's reasoning capabilities.

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Connect Fee Navigator MCP to Google ADK

Create your Vinkius account to connect Fee Navigator 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 Fee Navigator with Google ADK

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Link Google ADK to Fee Navigator tools

Register the server using McpToolset to give your Google ADK agent access to the full suite. It plugs directly into your existing infrastructure, allowing your agents to query merchant data in real-time. Use `list_merchants` to pull your client roster into the agent's context. It makes managing large accounts simple, as the agent can query the API whenever it needs to verify a merchant ID.

Analyze financial data with Gemini and Fee Navigator

Leverage the long-context window of your model to process multiple `get_industry_stats` reports at once. Your agent can correlate these benchmarks with specific merchant costs to find hidden savings. Call `analyze_statement` to turn unstructured PDF data into actionable insights. The agent then maps these findings to your internal databases, keeping your record-keeping accurate.

Track merchant activities in Google ADK

Use `list_recent_activities` to keep a pulse on what your agents are auditing. It gives you a clear view of which statements have been processed and which require follow-up. Your agent can also pull specific details using `get_merchant` to verify account status. It ensures that your automated reporting stays aligned with the current state of your merchant database.

Setup guide

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

Use the McpToolset class provided in the ADK. Instantiate it with your server URL, and pass it to your LlmAgent definition. You can filter tool names if you want to limit what the agent can access.

It does. You can feed large audit summaries into the context window, allowing the agent to reason over thousands of lines of fee data. It works well for complex merchant portfolios.

The server integrates with your existing Google Cloud setup. Your agent can pull data, process it via Fee Navigator tools, and store the results in your preferred storage solution.

Vinkius provides a zero-trust environment for your server connections. Once you provide the token, the tunnel is encrypted and ephemeral, ensuring your agent-to-server traffic remains private.

We handle merchant statements as transient objects. The server processes the file, returns the analysis, and clears the buffer. Your financial data is not cached by the MCP infrastructure.

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