How to Use the Document Paginator Engine MCP in OpenAI Agents SDK

Slice legal text for your OpenAI Agents SDK production pipeline without losing sentence integrity.

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Connect Document Paginator Engine MCP to OpenAI Agents SDK

Create your Vinkius account to connect Document Paginator 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 Document Paginator Engine with OpenAI Agents SDK

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Claude

Perplexity

Safe chunking for OpenAI Agents SDK

The `chunk_legal_document` tool breaks down massive contracts into manageable segments. It calculates token limits precisely to keep your agent inputs within budget. Your agent gets clean, valid text segments every time. It avoids mid-sentence cuts that confuse models and ruin context.

Maintain legal context in OpenAI Agents SDK

Legal docs rely on precise phrasing. This MCP Server respects clause boundaries while slicing data. It treats every sentence as an atomic unit. Your agent processes the full legal intent without fragmented data errors.

Automated document flow for OpenAI Agents SDK

Integrate this tool into your agent loop for hands-off document processing. It handles the math so your code stays focused on logic. You avoid manual pre-processing steps. The server runs as a background task, ensuring consistent throughput for your production agent system.

Setup guide

Set up Document Paginator 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 Document Paginator Engine tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Document Paginator 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 Document Paginator 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="Document Paginator Engine Agent",
            instructions="You have access to Document Paginator 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 Document Paginator Engine MCP in OpenAI Agents SDK

It connects directly to your agent via the SDK's MCP interface. You pass the text to `chunk_legal_document`, and it returns segments ready for immediate processing.

Yes. It uses regex-based boundary detection to ensure no sentence is truncated. This keeps your legal data intact before it reaches the agent.

It is built for reliability. The engine handles complex legal punctuation and keeps chunks under strict token limits, preventing silent corruption.

Not at all. The tools are auto-discovered by the SDK. You just call the function and handle the returned chunks.

The server processes text in memory and discards it immediately after chunking. No persistent storage is used, keeping your sensitive legal documents ephemeral.

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