How to Use the Airparser MCP in OpenAI Agents SDK

Get structured data from PDFs and emails directly inside your OpenAI Agents SDK production pipeline.

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Connect Airparser MCP to OpenAI Agents SDK

Create your Vinkius account to connect Airparser 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 Airparser with OpenAI Agents SDK

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Automate document parsing for OpenAI Agents SDK

Trigger document processing right from your agent logic. Use `parse_document_sync` to get immediate results or `parse_document_async` if you need to keep your agent thread free for other tasks. Your agent handles the flow while the Airparser MCP server pushes the extracted JSON back into your execution trace. It keeps your data pipeline moving without manual intervention.

Manage your Airparser inbox structure

Query `get_inbox_schema` to see exactly what fields your documents contain. Your agent then maps these fields to your internal database models before saving any records. This keeps your agent aware of the data shape in real time. You avoid guessing what keys the parser will return when it hits your documents.

Control document exports via OpenAI Agents SDK

Configure your data routing by calling `create_webhook` to send processed files to your custom endpoints. If a process ends, use `delete_webhook` to clean up the configuration. Your agent maintains full control over where the data lands. You stop worrying about stale connections and keep your exports strictly defined.

Setup guide

Set up Airparser 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 Airparser tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Airparser 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="Airparser Agent",
            instructions="You have access to Airparser tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Airparser. 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.

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Common questions about Airparser MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object pointing to the server endpoint. Pass this instance into your agent constructor to let the framework discover all available tools automatically.

Yes, you can wrap the tool execution within your agent's internal logic. Since the agent receives the raw JSON output, you can apply your own validation schemas before the data hits your database.

It integrates directly into the execution flow. Every tool call shows up in your dashboard, letting you inspect the exact inputs and outputs for every document processed.

The server returns clear status codes for every parse attempt. Your agent logic should check these results and retry or alert you if a document fails to process.

Your sensitive files stay within your defined inbox scope. The server only touches the raw text and JSON fields needed for extraction, ensuring no unauthorized access to your source documents.

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