How to Use the Sensible MCP in Google ADK

Q: How are document types created?

Use createdocumenttype to define your schema. You can manage these types programmatically as your business requirements change.

Connect your Google ADK agents to document extraction tools for enterprise-grade data processing.

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…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Sensible MCP to Google ADK

Create your Vinkius account to connect Sensible to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Sensible with Google ADK

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Enterprise Document Classification

Identify incoming documents automatically using `classify_sync`. This lets your agent route files to the correct parsing logic without human intervention. It works by analyzing the structure and content of the file. You can then trigger specific extraction routines based on the returned document type.

Portfolio Extraction Support

Process multi-document packages efficiently with `extract_portfolio_from_url`. This is built for complex enterprise workflows where one upload contains multiple distinct records. Your agent can parse the entire portfolio in one go. It reduces the number of calls needed to extract data from mixed-document sets.

Extraction Statistics Tracking

Monitor your parsing performance using `get_extraction_statistics`. This gives you visibility into how well your documents are being handled by the engine. Use these metrics to tune your configurations. It helps you identify which document types need more training data or updated schemas.

Setup guide

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

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