Alphamoon MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Alphamoon Status, Delete Document, Get Document, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Alphamoon through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Alphamoon app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Alphamoon, 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 Alphamoon MCP Server
Connect your Alphamoon account to any AI agent and take full control of your automated document processing and intelligent data extraction workflows through natural conversation.
The Vercel AI SDK gives every Alphamoon tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Pipeline Orchestration — List and manage available document automation pipelines programmatically to coordinate high-fidelity data extraction tasks
- AI Data Extraction — Programmatically retrieve structured fields from processed documents (invoices, IDs, etc.) with high-fidelity accuracy and confidence scores
- Raw OCR Intelligence — Access the complete high-fidelity recognized text (OCR) from scanned files and PDFs directly through your agent
- Document Lifecycle Management — List all processed documents and monitor their status programmatically to maintain a perfectly coordinated audit trail
- Infrastructure Monitoring — Verify API connectivity and retrieve account-level metadata directly through your agent for instant operational reporting
The Alphamoon MCP Server exposes 12 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.
All 12 Alphamoon tools available for Vercel AI SDK
When Vercel AI SDK connects to Alphamoon through Vinkius, your AI agent gets direct access to every tool listed below — spanning alphamoon, ocr-api, document-extraction, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Delete a document
Get document details
Get extraction results
Get OCR results
Get process details
Get template details
List documents
List documents by process
List processes
List templates
Upload a document
Connect Alphamoon to Vercel AI SDK via MCP
Follow these steps to wire Alphamoon into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Alphamoon MCP Server
Vercel AI SDK provides unique advantages when paired with Alphamoon 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 Alphamoon integration everywhere
Built-in streaming UI primitives let you display Alphamoon 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
Alphamoon + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Alphamoon MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Alphamoon in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Alphamoon tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Alphamoon capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Alphamoon through natural language queries
Example Prompts for Alphamoon in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Alphamoon immediately.
"List all my document automation pipelines in Alphamoon."
"Show the extraction results for document ID '90210'."
"Get the raw OCR text from document '90210'."
Troubleshooting Alphamoon MCP Server with Vercel AI SDK
Common issues when connecting Alphamoon to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAlphamoon + Vercel AI SDK FAQ
Common questions about integrating Alphamoon 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.