Airparser Connector for AI agents.
10 live capabilities
Turn messy PDFs and invoices into structured JSON data automatically.
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Why people use Airparser
Airparser for Automated Invoice and Document Processing
This Connector lets your agent handle the extraction for you. It reads the file, identifies the fields, and gives you the data you actually need. You get a clean data flow instead of a pile of manual tasks.
What Vinkius changes
You get structured data from messy files without doing any manual typing.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automating Accounts Payable
An operations manager asks their agent to parse 50 invoices and push the totals to their accounting software using parse_document_async.
- Real-world use case 02
Bulk Resume Parsing
A recruiter asks the agent to extract names and skills from 100 resumes into a JSON list to populate their hiring database.
- Real-world use case 03
E-commerce Receipt Sync
A developer sets up a webhook to send order data from emailed receipts to a custom dashboard using create_webhook.
Complete set · 10capabilities
The complete Airparser capability set.
These are the exact actions your AI can choose when you ask it to work with Airparser.
01—04
4 capabilities in this set.
Part of 10 available through Airparser.
- 01 Capability
List inboxes
See all your active Airparser inboxes. Use this to get an overview of your different data streams.
- 02 Capability
Get inbox details
Get specific metadata for an inbox. This helps you see the configuration of a particular source.
- 03 Capability
List documents
See what files are currently sitting in an inbox. Use this to monitor your pending document queue.
- 04 Capability
Get document details
Get the final JSON data from a finished parse. This retrieves the actual content extracted from a file.
05—07
3 capabilities in this set.
Part of 10 available through Airparser.
- 05 Capability
Get inbox schema
Check the field definitions for a specific inbox. Use this to verify what data your agent is looking for.
- 06 Capability
List webhooks
See your active automated data exports. Use this to manage where your data is being sent.
- 07 Capability
Create webhook
Set up a new automated push to your apps. Use this to send parsed data to your CRM or database.
08—10
3 capabilities in this set.
Part of 10 available through Airparser.
- 08 Capability
Delete webhook
Remove an old automated data export. Use this to clean up your automated workflows.
- 09 Capability
Parse document sync
Extract data from a file immediately. Use this when you need the JSON result right away in your chat.
- 10 Capability
Parse document async
Put a file in the queue for background processing. This is best for handling large batches of documents.
Set up in minutes
One URL. Then ask Airparser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Airparser from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5bS14fdIi1BnsLyr7BTkAgKuzpRjFBuj1BpX0yr3/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Airparser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Airparser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5bS14fdIi1BnsLyr7BTkAgKuzpRjFBuj1BpX0yr3/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Airparser URL.
- Step 03
Save and start
Save the connection and enable Airparser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"airparser": {
"url": "https://edge.vinkius.com/vk_preview_5bS14fdIi1BnsLyr7BTkAgKuzpRjFBuj1BpX0yr3/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Airparser
Open Agent mode in chat and ask: "Using Airparser, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"airparser": {
"url": "https://edge.vinkius.com/vk_preview_5bS14fdIi1BnsLyr7BTkAgKuzpRjFBuj1BpX0yr3/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Airparser
Ask Copilot: "Using Airparser, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"airparser": {
"url": "https://edge.vinkius.com/vk_preview_5bS14fdIi1BnsLyr7BTkAgKuzpRjFBuj1BpX0yr3/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Airparser
Open Cascade and ask: "Using Airparser, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"airparser": {
"url": "https://edge.vinkius.com/vk_preview_5bS14fdIi1BnsLyr7BTkAgKuzpRjFBuj1BpX0yr3/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Airparser
Ask Cline: "Using Airparser, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add airparser --transport http "https://edge.vinkius.com/vk_preview_5bS14fdIi1BnsLyr7BTkAgKuzpRjFBuj1BpX0yr3/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Airparser
Ask Claude: "Using Airparser, show me...". 10 tools are ready
Where the request belongs
Work Airparser can move forward.
This is for the operations manager who is tired of manual data entry, the recruiter drowning in resumes, and the developer who wants to build a production-ready document pipeline without writing OCR code.
Operations Manager
They use this on Tuesday afternoons to automatically pull vendor data from hundreds of receipts into their accounting software.
Recruiter
They use this to turn a pile of PDF resumes into a structured candidate list for easier filtering.
Data Analyst
They use this to convert messy, unstructured vendor files into clean datasets for weekly reports.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsParsio
Extract structured data from emails and PDFs automatically with AI-powered parsing templates that learn from your documents.
Parseur
Automate document processing via Parseur. list mailboxes, upload PDFs/Emails, extract structured data pipelines, and trigger template logic natively.
Docparser
Equip your AI agent to extract data from documents, manage parsers, and track extraction results via the Docparser API.
AlgoDocs
AI document extraction orchestration. parse PDFs, images, and Word docs via AI.
Sensible
Extract structured data from PDFs, images, and documents using Sensible's powerful document parsing engine.
Extracta
Automate data extraction via Extracta. process documents into structured JSON, handle AI classification, and audit extraction history directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Airparser connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Airparser.
The practical details behind the request, access and result.
Can Airparser MCP handle handwritten notes on documents?
Yes, it can process various document types including those with handwriting, turning them into structured data for your agent to use.
How do I send the parsed data to my own database using Airparser MCP?
You can use the webhook capabilities to automatically push your parsed JSON data to any external application or database.
Does Airparser MCP work for emails too?
Yes, it can parse content from both EML and HTML email files, making it great for automating inbox workflows.
Can I process a lot of documents at once with Airparser MCP?
Yes, you can use the background processing capabilities to handle large batches of files without waiting for each one to finish.
How do I check if a document was parsed correctly in Airparser MCP?
You can ask your agent to check the status of a specific document or retrieve the full JSON result to verify the accuracy.
Is there a way to see my current inboxes in Airparser MCP?
Your agent can list all your active inboxes and show you the document counts for each one instantly.
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 capability. 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.
One connection away
Give your agent a direct line to Airparser.
Connect Airparser once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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