How to Use the Legal Fees Apportionment Engine MCP in Google ADK

Q: Does the Legal Fees Apportionment Engine work with Gemini's long context in Google ADK?

Yes. The apportionlegalfees tool returns structured data that Gemini uses to analyze complex, multi-party litigation histories over long chat sessions.

Process multi-party judicial splits inside Google ADK using the Legal Fees Apportionment Engine.

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Connect Legal Fees Apportionment Engine MCP to Google ADK

Create your Vinkius account to connect Legal Fees Apportionment Engine 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 Legal Fees Apportionment Engine with Google ADK

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Split court awards directly from BigQuery data

The `apportion_legal_fees` tool calculates the distribution of court awards and legal fees across multiple parties. It integrates with Google ADK to let Gemini agents pull raw settlement data from BigQuery, run the math, and write the results back. This setup eliminates manual data entry. Your agent reads the party list, runs the calculations, and updates your enterprise database in one operation.

Audit complex fee splits using this MCP Server

The `apportion_legal_fees` tool generates a step-by-step breakdown of every fee deduction and party split. Gemini's million-token context window in Google ADK allows the agent to ingest thousands of pages of court transcripts alongside these mathematical outputs. The agent compares the tool's calculations with the trial record. It flags any discrepancies between the court's written orders and the final calculated numbers.

Connect Google ADK via secure HTTP transport

The `apportion_legal_fees` tool is exposed over a secure HTTP connection managed by Vinkius. You configure this in Google ADK using the `StreamableHttpServerParameters` class. This approach keeps your agent code clean. You pass the toolset to your `LlmAgent` and let the framework handle the communication with the external calculation engine.

Setup guide

Set up Legal Fees Apportionment Engine 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 Legal Fees Apportionment Engine 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="Legal Fees Apportionment Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Legal Fees Apportionment Engine tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Legal Fees Apportionment Engine MCP in Google ADK

Instantiate the MCP toolset with the server parameters pointing to your Vinkius endpoint. Then, pass the toolset directly to your Google ADK `LlmAgent` instance.

Yes. The `apportion_legal_fees` tool returns structured data that Gemini uses to analyze complex, multi-party litigation histories over long chat sessions.

Yes. You can use the optional tool names filter in the toolset configuration to restrict access. This ensures your agent only calls the specific calculation tools you authorize.

Yes. The server supports both stdio and HTTP transports. You can test it locally before deploying it to your Google Cloud infrastructure.

All calculation payloads, including award totals and deduction rates, are processed in ephemeral V8 isolates. Vinkius does not log or persist your transaction data.

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