Airparser MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Airparser through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Airparser, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Airparser tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Airparser MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Airparser and passes them to the LLM
Why Use Vercel AI SDK with the Airparser MCP Server
Vercel AI SDK provides unique advantages when paired with Airparser through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Airparser integration everywhere
Built-in streaming UI primitives let you display Airparser tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Airparser + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Airparser MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Airparser in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Airparser tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Airparser capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Airparser through natural language queries
Airparser MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Airparser to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Airparser to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAirparser + Vercel AI SDK FAQ
Common questions about integrating Airparser MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Airparser with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.