Drip 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 Drip 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 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
Connect your Drip account to any AI agent and take full control of your e-commerce CRM and marketing automation through natural conversation.
The Vercel AI SDK gives every Drip 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
- Subscriber Management — List and search for subscribers to retrieve emails, tags, custom fields, lead scores, and lifecycle stages natively
- Provisioning & Tagging — Create or update subscriber profiles and apply or remove tags strictly to drive your automation and segmentation logic
- Workflow Orchestration — List all automation workflows and trigger absolute response routing to start subscribers onto an executing node loop
- Campaign Auditing — Retrieve explicit arrays detailing specific email series campaigns, including statuses and subscriber counts
- Event Tracking — Inject raw telemetry logs to record custom events (like 'Purchased' or 'Visited') generating hard tracking bindings for your automation
- Categorical Tagging — Identify precise active tag arrays spanning your account to manage your organizational segmentation boundaries
- Activity Monitoring — Analyze specific localized profiles decoding activity history to understand customer behavior limitlessly
The Drip 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 Drip to Vercel AI SDK via MCP
Follow these steps to integrate the Drip 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 Drip and passes them to the LLM
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
Drip MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Drip to Vercel AI SDK via MCP:
create_subscriber
Modifies `/v2/{account_id}/subscribers` resolving exact tags mapping. Create or update a Drip subscriber
get_subscriber
Returns full profile, tags, custom fields, lead score, and activity history. Get a Drip subscriber by email or ID
list_campaigns
Returns campaign IDs, names, statuses, and subscriber counts. List Drip email series campaigns
list_subscribers
Returns emails, tags, custom fields, and lifecycle stage. List Drip subscribers. Drip is an e-commerce CRM/email platform
list_tags
List all tags in your Drip account
list_workflows
Returns workflow IDs, names, and statuses (active/paused/draft). List Drip automation workflows
record_event
Events trigger automations. Record a custom event for a Drip subscriber
remove_tag
Drops the raw data tag relationship bypassing the standard UI triggers. Remove a tag from a Drip subscriber
start_workflow
Starts a subscriber onto an executing node loop. Start a subscriber on a Drip automation workflow
tag_subscriber
Tags drive automation and segmentation. Apply a tag to a Drip subscriber
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.
"Search for subscriber info for: hello@example.com"
"Add tag 'Vip-Customer' to user: user@drip.com"
"List all active automation workflows"
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.Connect Drip 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 Drip to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.