Dripcel 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 Dripcel 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 MCP SERVER
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 Dripcel, 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 Dripcel MCP Server
Integrate Dripcel, the powerful WhatsApp automation platform, directly into your AI workflow. Manage your WhatsApp instances and connection statuses, track identified contacts and phone numbers, monitor message history and templates, and oversee your messaging operations using natural language.
The Vercel AI SDK gives every Dripcel 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
- Instance Oversight — List and retrieve detailed information and connection status for all your WhatsApp instances.
- Contact Intelligence — Monitor identified contacts, their phone numbers, and last interaction history across your organization.
- Messaging Intelligence — Monitor real-time messaging logs, delivery statuses, and approved templates via chat.
- Automation Auditing — Retrieve high-level summaries of instance activity, connection health, and active in-progress communications.
The Dripcel 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 Dripcel to Vercel AI SDK via MCP
Follow these steps to integrate the Dripcel 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 Dripcel and passes them to the LLM
Why Use Vercel AI SDK with the Dripcel MCP Server
Vercel AI SDK provides unique advantages when paired with Dripcel 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 Dripcel integration everywhere
Built-in streaming UI primitives let you display Dripcel 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
Dripcel + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dripcel MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dripcel in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dripcel tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dripcel capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dripcel through natural language queries
Dripcel MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Dripcel to Vercel AI SDK via MCP:
get_dripcel_account_metadata
Retrieve metadata and limits for your Dripcel account
get_instance_details
Get detailed settings and information for a specific WhatsApp instance
get_whatsapp_connection_status
Identify if a specific WhatsApp instance is currently connected and authenticated
list_instance_contacts
List all contacts registered or identified within a specific WhatsApp instance
list_whatsapp_instances
List all WhatsApp instances configured in your Dripcel account
list_whatsapp_messages
List recent messages sent or received by a specific instance
list_whatsapp_templates
List all message templates configured for a specific instance
quick_instance_health_audit
Retrieve a high-level summary of all instances and their connection states
search_instance_contacts
Search for contacts within an instance using a keyword or phone number
send_whatsapp_message
Send a text message via a specific WhatsApp instance
Example Prompts for Dripcel in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dripcel immediately.
"List all active WhatsApp instances."
"Send message 'Your order is ready' to '+1 555-0123' via instance 'main_inst'."
"Check the connection health for instance 'sales_inst'."
Troubleshooting Dripcel MCP Server with Vercel AI SDK
Common issues when connecting Dripcel to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDripcel + Vercel AI SDK FAQ
Common questions about integrating Dripcel 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 Dripcel 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 Dripcel to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.