How to Use the Airparser MCP in AutoGen

Q: How do I register the Airparser MCP Server in AutoGen?

Install autogen-extmcp and use the mcpservertools adapter with your server URL. Pass the generated tools list directly to your AssistantAgent constructor.

Q: How do AutoGen agents collaborate on Airparser document extraction?

One agent triggers parsedocumentsync to get the raw JSON. A second agent retrieves the schema using getinboxschema to verify that all required fields were extracted correctly.

Q: Can AutoGen manage multiple Airparser inboxes simultaneously?

Yes. Your routing agent calls listinboxes to map out available targets. It then directs specialized agents to process documents in their respective inboxes.

Let your AutoGen agents debate and extract structured data from PDFs and emails via this managed MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Airparser MCP to AutoGen

Create your Vinkius account to connect Airparser to AutoGen 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 Airparser with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate document extractions through agent debate

`parse_document_sync` extracts structured data from incoming files. In your AutoGen group, one agent runs the extraction while a validation agent checks the output against `get_inbox_schema` to ensure accuracy. This consensus-driven approach catches parsing errors before they hit your database. If the validator finds a discrepancy, it instructs the parsing agent to run a different extraction path or flag the document.

Coordinate webhook setups with specialized agents

`create_webhook` registers automated data exports when your agents agree on a target. A security agent runs `list_webhooks` to audit active endpoints, while a performance agent deletes obsolete ones using `delete_webhook`. You get a self-cleaning pipeline that manages its own infrastructure. The agents discuss whether a webhook is still necessary and execute the changes without human intervention.

Scale document processing using this AutoGen MCP Server

`parse_document_async` offloads heavy extraction tasks so your conversation flow doesn't freeze. While the document processes, your AutoGen agents continue discussing other tasks, checking `get_document_details` only when the data is ready. This asynchronous design keeps your multi-agent system responsive. Agents coordinate who monitors `list_documents` and who handles the final parsed JSON, optimizing the overall workflow.

Setup guide

Set up Airparser MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Airparser tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Airparser_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Airparser data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Airparser_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Airparser data")
    print(result.messages[-1].content)

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 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.

Why Choose Vinkius

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

Connect Airparser 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 Airparser MCP in AutoGen

Install `autogen-ext[mcp]` and use the `mcp_server_tools` adapter with your server URL. Pass the generated tools list directly to your `AssistantAgent` constructor.

One agent triggers `parse_document_sync` to get the raw JSON. A second agent retrieves the schema using `get_inbox_schema` to verify that all required fields were extracted correctly.

Yes. Your routing agent calls `list_inboxes` to map out available targets. It then directs specialized agents to process documents in their respective inboxes.

This server supports Streamable HTTP transport. The AutoGen MCP adapter handles all schema conversions automatically, making connection setup straightforward.

Your parsed PDFs, emails, images, and inbox metadata are processed inside isolated V8 sandboxes. Vinkius secures the connection, meaning no data is retained or leaked outside the runtime.

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