Airparser MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Airparser through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"airparser": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Airparser Agent",
instructions:
"You help users interact with Airparser " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Airparser?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Airparser tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Airparser MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Airparser via MCP
Why Use Mastra AI with the Airparser MCP Server
Mastra AI provides unique advantages when paired with Airparser through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Airparser without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Airparser tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Airparser + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Airparser MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Airparser, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Airparser as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Airparser on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Airparser tools alongside other MCP servers
Airparser MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Airparser to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Airparser to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAirparser + Mastra AI FAQ
Common questions about integrating Airparser MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Airparser with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Airparser to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.