How to Use the Apperio MCP in Google ADK

Q: Can I restrict what Apperio does in Google ADK?

Absolutely. Use the toolnames parameter to restrict the agent to only the functions you need. This limits the scope of what the model can touch.

Integrate Apperio with Google ADK to process legal spend data directly inside your Google Cloud agent infrastructure.

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Connect Apperio MCP to Google ADK

Create your Vinkius account to connect Apperio 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 Apperio with Google ADK

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Query legal matters in Google ADK

Call `list_matters` to populate your agent's context with real-time billing data. It lets you pull specific matter details using `get_matter_header` as needed. Managing your legal portfolio becomes a background task for your agent. You stop wasting time on manual lookups and focus on the results.

Manage e-billing operations

Use `list_invoices` to grab a list of pending items for review. Your agent can then pull deep details with `get_invoice_details` before deciding to approve or reject them. It removes the need for human eyes on every routine bill. The agent handles the heavy lifting while you define the policy.

Filter tools for Google ADK

Use the tool_names filter to limit which functions your agent can access. This keeps your Google ADK implementation clean and focused on specific tasks like tagging matters. Apply `tag_matter` to keep your records consistent across your cloud environment. Your infrastructure stays tidy without extra manual oversight.

Setup guide

Set up Apperio 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 Apperio 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="Apperio_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Apperio tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Apperio MCP in Google ADK

Use the McpToolset class with your server URL. You can then pass this toolset directly into your LlmAgent to start interacting with your billing data.

It works perfectly. Gemini's long-context window allows your agent to hold vast amounts of invoice history and matter data simultaneously for better reasoning.

The server supports both Stdio and HTTP transports. You choose the one that fits your deployment architecture inside Google Cloud.

Absolutely. Use the tool_names parameter to restrict the agent to only the functions you need. This limits the scope of what the model can touch.

We enforce strict token-based authentication for every request. Your legal invoice data is never cached in logs, ensuring your financial information remains private and secure.

Use it with your favorite AI tools

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