How to Use the Bates Numbering Generator Engine MCP in Google ADK

Q: Does the Bates Numbering Generator Engine integrate with Google ADK for cloud-scale tasks?

Yes. It connects via McpToolset, letting your agents generate lists of document IDs that correspond to records stored in your BigQuery tables.

Q: How do I add the Bates Numbering Generator Engine to my Google ADK agent?

Pass the server parameters into your McpToolset and include that toolset in your LlmAgent definition. The tool becomes available to your model immediately.

Manage document indexing on Google ADK for enterprise e-Discovery tasks.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Bates Numbering Generator Engine MCP to Google ADK

Create your Vinkius account to connect Bates Numbering Generator 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.

GDPR Free for Subscribers

Setup Bates Numbering Generator Engine with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Bates numbering precision in Google ADK

Your enterprise agents on Google Cloud need to link BigQuery data to physical document sets. The `generate_bates_numbers` tool delivers the exact array indices needed to bridge that gap. Using this tool inside your `LlmAgent` configuration keeps your document labeling consistent. You avoid the logic errors that usually occur when relying on raw model generation for sequential data.

Vertex AI infrastructure integration

This MCP Server hooks directly into your `McpToolset` to provide immediate indexing capabilities. It fits into your existing Google Cloud architecture without needing custom middleware. Your agents can now trigger sequential generation as part of a larger pipeline. It handles the heavy lifting of calculating thousands of indices while your model focuses on document analysis.

Restricted tool access for enterprise security

You can limit the scope of your agent by using the tool_names filter. This ensures only `generate_bates_numbers` is exposed, keeping your agent focused on its primary indexing task. It works over both Stdio and HTTP, giving you flexibility in how you deploy. This setup keeps your agent's tool surface area small while providing the exact logic required for legal workflows.

Setup guide

Set up Bates Numbering Generator 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 Bates Numbering Generator 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="Bates Numbering Generator Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bates Numbering Generator Engine 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 Native V8. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Bates Numbering Generator Engine now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bates Numbering Generator Engine MCP in Google ADK

Yes. It connects via `McpToolset`, letting your agents generate lists of document IDs that correspond to records stored in your BigQuery tables.

Pass the server parameters into your `McpToolset` and include that toolset in your `LlmAgent` definition. The tool becomes available to your model immediately.

Absolutely. Gemini can ingest the generated lists and use them to tag massive document sets, taking full advantage of the 1M+ token context window.

No. The server acts as a standard HTTP or Stdio service. It operates as a separate utility that your agent calls to get clean, sequential string data.

The server operates on an ephemeral basis, processing only the requested numerical ranges. No document metadata or case-specific information is stored on the server side.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript