Drip MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Apply Tag, Create Or Update Subscriber, Delete Subscriber, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Drip 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 Drip app connector for Vercel AI SDK is a standout in the Growth Engine 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 Drip, 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 Drip MCP Server
What you can do
- Retrieve and list your subscribers, custom fields, and tags.
- Create or update subscribers with precise tags and custom attributes.
- Record custom events to trigger Drip workflows dynamically.
- Fetch live metrics from your single-email campaigns and workflows.
The Vercel AI SDK gives every Drip 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.
The Drip 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 Drip tools available for Vercel AI SDK
When Vercel AI SDK connects to Drip through Vinkius, your AI agent gets direct access to every tool listed below — spanning drip, email, marketing automation, 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.
Apply a tag to a subscriber
Pass the email address and optionally any custom fields or tags. Create or update a subscriber in Drip
This action is irreversible. Delete a subscriber from Drip permanently
Fetch a single subscriber by their ID or Email
List all Single-Email Campaigns (Broadcasts)
List all Email Series Campaigns
List all custom field identifiers
Use this to fetch all known contacts. List all subscribers in the Drip account
List all Tags used in the account
List all Workflows in Drip
You can pass additional properties associated with the event. Record a custom event for a subscriber in Drip
Unsubscribe a subscriber from all mailings
Connect Drip to Vercel AI SDK via MCP
Follow these steps to wire Drip 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 Drip MCP Server
Vercel AI SDK provides unique advantages when paired with Drip 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 Drip integration everywhere
Built-in streaming UI primitives let you display Drip 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
Drip + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Drip MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Drip in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Drip tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Drip capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Drip through natural language queries
Example Prompts for Drip in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Drip immediately.
"Create a new Drip subscriber with the email 'leads@example.com' and tag them as 'VIP'."
"List all active workflows in my Drip account."
"Record a custom event called 'Signed Up' for user 'john@doe.com' in Drip."
Troubleshooting Drip MCP Server with Vercel AI SDK
Common issues when connecting Drip to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDrip + Vercel AI SDK FAQ
Common questions about integrating Drip 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.