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 LangChain 10 tools — connect in under 2 minutes

Name: Airparser
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Airparser through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "airparser": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Airparser, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Airparser through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Airparser MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Airparser via MCP

Why Use LangChain with the Airparser MCP Server

LangChain provides unique advantages when paired with Airparser through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Airparser MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Airparser queries for multi-turn workflows

Airparser + LangChain Use Cases

Practical scenarios where LangChain combined with the Airparser MCP Server delivers measurable value.

RAG with live data: combine Airparser tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Airparser, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Airparser tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Airparser tool call, measure latency, and optimize your agent's performance

Airparser MCP Tools for LangChain (10)

These 10 tools become available when you connect Airparser to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Airparser to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Airparser + LangChain FAQ

Common questions about integrating Airparser MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.