How to Use the Document Paginator Engine MCP in Google ADK

Q: How do I add Document Paginator Engine to Google ADK?

Use the McpToolset class in your code. Point it to the server URL, and it automatically exposes the chunking functionality to your agent.

Q: Can I filter tools when using Document Paginator Engine with Google ADK?

You can use the toolnames filter. This restricts the agent to only the chunking tool, keeping your environment clean and secure.

Use Google ADK to process large documents with this MCP Server's precise slicing logic.

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Connect Document Paginator Engine MCP to Google ADK

Create your Vinkius account to connect Document Paginator 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 Document Paginator Engine with Google ADK

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Enterprise scaling for Google ADK

BigQuery data often exceeds LLM context windows. Use `chunk_legal_document` to prepare your enterprise documents for Gemini. It slices text into token-safe batches that fit perfectly into your long-context workflows. You get reliable input without manual oversight.

Native integration with Google ADK

This MCP Server plugs into your Google ADK toolset with standard HTTP transport. It acts as a bridge between your raw data and your agent's reasoning engine. You define the token budget, and the tool enforces it. The result is a stream of clean text ready for your cloud-based agents.

Preserve citation structure in Google ADK

Legal citations often confuse standard splitters. This tool recognizes common abbreviations to keep your references grouped correctly. Your agents maintain context across documents. It ensures that legal clauses remain whole, even when the document is massive.

Setup guide

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

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Common questions about Document Paginator Engine MCP in Google ADK

Use the `McpToolset` class in your code. Point it to the server URL, and it automatically exposes the chunking functionality to your agent.

It excels at it. The engine slices massive blocks into chunks that respect your model's limits, ensuring you never hit context errors.

No. It uses semantic boundary detection instead of simple character counting. Your sentences stay whole, preserving the original legal meaning.

You can use the tool_names filter. This restricts the agent to only the chunking tool, keeping your environment clean and secure.

The server is stateless. It performs the chunking in a V8 sandbox and never stores your input, ensuring your proprietary legal data remains private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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