Stannp MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Physical Letter, Create Postcard, Create Recipient, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Stannp 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 Stannp app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 11 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 Stannp, 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 Stannp MCP Server
Connect your Stannp account to any AI agent and simplify your direct mail marketing, physical letter delivery, and mailing list management through natural conversation.
The Vercel AI SDK gives every Stannp tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Physical Mail Delivery — Create and send single or bulk letters and postcards programmatically directly from your agent
- Campaign Management — Query all configured direct mail campaigns and retrieve detailed metadata and status
- Recipient Control — Query your database of contacts and mailing addresses to choose the right recipients for each piece
- Account tracking — Access your real-time account balance to manage your mailing spend
- Live Monitoring — Access a history of sent and drafted letters to stay on top of your physical outreach
The Stannp MCP Server exposes 11 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 11 Stannp tools available for Vercel AI SDK
When Vercel AI SDK connects to Stannp through Vinkius, your AI agent gets direct access to every tool listed below — spanning direct-mail, physical-letters, postcards, 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.
Send a physical letter
Create and send a postcard
Create a new mailing recipient
Check account credit balance
Get details for a direct mail campaign
Get details for a specific letter
Get details for a specific recipient
List direct mail campaigns
List sent and drafted letters
List mailing recipients
List sent and drafted postcards
Connect Stannp to Vercel AI SDK via MCP
Follow these steps to wire Stannp 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 Stannp MCP Server
Vercel AI SDK provides unique advantages when paired with Stannp 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 Stannp integration everywhere
Built-in streaming UI primitives let you display Stannp 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
Stannp + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Stannp MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Stannp in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Stannp tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Stannp capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Stannp through natural language queries
Example Prompts for Stannp in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Stannp immediately.
"List my sent letters in Stannp."
"Show me all direct mail campaigns with their delivery status and response rates."
"Create and send a personalized postcard to our top 50 customers with a loyalty discount code."
Troubleshooting Stannp MCP Server with Vercel AI SDK
Common issues when connecting Stannp to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStannp + Vercel AI SDK FAQ
Common questions about integrating Stannp 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.