How to Use the Bates Numbering Generator Engine MCP in OpenAI Agents SDK

Generate legal Bates sequences directly inside your OpenAI Agents SDK production pipeline.

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Connect Bates Numbering Generator Engine MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bates Numbering Generator Engine to OpenAI Agents SDK 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 Bates Numbering Generator Engine with OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity

Deterministic numbering for OpenAI Agents SDK

Stop worrying about sequence gaps in your document processing pipeline. The `generate_bates_numbers` tool creates strict, ordered arrays that your agents can inject into metadata fields immediately. Your production agent system requires predictable outputs for e-Discovery. This MCP Server ensures every document index follows your exact naming convention without the risk of LLM-induced drift.

Strict guardrails for legal documentation

You need safety when handling sensitive case files. By using this tool, your agent validates every sequence before it hits your database, preventing malformed indices from entering the workflow. Integrating this into your `openai-agents-sdk` flow keeps your data clean. You define the start, end, and format, and the server returns the precise array required for your record-keeping tasks.

Performance-tuned tool discovery

Caching your tools saves compute cycles during high-volume document runs. When you set `cacheToolsList=True` in your agent constructor, the server keeps the `generate_bates_numbers` definition ready for rapid execution. This setup works perfectly with the async context manager in your code. You get the speed of a pre-configured toolset without sacrificing the strict control your production environment demands.

Setup guide

Set up Bates Numbering Generator Engine MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Bates Numbering Generator Engine tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Bates Numbering Generator Engine tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bates Numbering Generator Engine tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Bates Numbering Generator Engine Agent",
            instructions="You have access to Bates Numbering Generator Engine tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Bates Numbering Generator Engine MCP in OpenAI Agents SDK

It provides a reliable way to generate sequential strings for document tagging. You bypass the inherent randomness of models by offloading index calculation to this server.

Yes. The server is designed to work within your async context manager, allowing your agent to request number ranges during long-running batch jobs.

The output is a standard array of strings. You can easily map these into your agent's response objects to ensure consistent formatting across all legal discovery tasks.

The server runs externally to your agent, reachable via an HTTP endpoint. Your agent acts as the client, fetching the numbers only when a document batch is ready for processing.

The tool only processes string-based document indices. It never touches your actual legal documents or PII, ensuring that case-sensitive information stays within your secure infrastructure.

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