How do I find my Airparser API Key?

Log in to your Airparser account and navigate to **Account Settings** or **API** section. You can generate and copy your unique API key from there. It must be used in the `X-API-Key` header.

Can I get parsing results immediately?

Yes! Use the `parse_document_sync` tool. It waits for Airparser to finish processing (up to 60 seconds) and returns the extracted JSON data directly in the response.

Does this support multi-item tables like line items in an invoice?

Yes, Airparser handles nested structures and tables. Ensure your **Extraction Schema** in the inbox is configured to capture these fields, and they will be returned as structured JSON arrays.

Airparser MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Airparser
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Airparser through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Airparser Assistant",
            instructions=(
                "You help users interact with Airparser. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Airparser"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Airparser MCP Server

Connect your Airparser account to your AI agent to unlock professional unstructured data extraction and IDP (Intelligent Document Processing). From automatically parsing complex invoices and resumes to auditing extraction schemas and managing automated webhooks, your agent handles your data processing pipeline through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Airparser through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Airparser, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Document Parsing — Upload and parse PDFs, emails (EML/HTML), and images synchronously or asynchronously
Inbox Management — List and audit your Airparser inboxes to organize different document types and sources
Schema Orchestration — Retrieve and verify extraction schemas to ensure your structured data matches your database requirements
Automated Workflows — List and create webhooks to automatically push parsed JSON data to your external applications
Real-time Status — Monitor document processing statuses and retrieve historical parsing results directly from chat

The Airparser MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Airparser to OpenAI Agents SDK via MCP

Follow these steps to integrate the Airparser MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Airparser

Why Use OpenAI Agents SDK with the Airparser MCP Server

OpenAI Agents SDK provides unique advantages when paired with Airparser through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Airparser + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Airparser MCP Server delivers measurable value.

Automated workflows: build agents that query Airparser, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Airparser, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Airparser tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Airparser to resolve tickets, look up records, and update statuses without human intervention

Airparser MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Airparser to OpenAI Agents SDK via MCP:

create_webhook

Add automated data export

delete_webhook

Remove automated export

get_document_details

Get extracted JSON data

get_inbox_details

Get inbox metadata

get_inbox_schema

Get extraction field definitions

list_documents

List documents in inbox

list_inboxes

List Airparser inboxes

list_webhooks

List inbox webhooks

parse_document_async

Parse document in background

parse_document_sync

Parse document immediately

Example Prompts for Airparser in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Airparser immediately.

"List all inboxes in my Airparser account."

"Show me the extraction schema for inbox ID 'abc-123'."

"Check the status of document ID 'doc_98765'."

Troubleshooting Airparser MCP Server with OpenAI Agents SDK

Common issues when connecting Airparser to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Airparser + OpenAI Agents SDK FAQ

Common questions about integrating Airparser MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.