Zuplo 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 Zuplo 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 Zuplo, 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 Zuplo MCP Server
Connect your Zuplo account to any AI agent and manage your programmable API infrastructure through natural conversation.
The Vercel AI SDK gives every Zuplo 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
- Project Management — List all Zuplo projects and API gateways in your account to monitor your integration landscape
- Edge Deployments — Trigger new configuration deployments to the global edge network or audit previous deployment history
- Consumer Governance — Create, manage, and revoke API key consumers to control who has access to your gateway authentication
- Environment Auditing — List available project environments (e.g., working, production) and verify their current operational status
- DNS & Domains — Retrieve and manage configured custom DNS domains for each of your API projects directly from your agent
- Real-Time Metrics — Monitor gateway traffic, latency, and throughput metrics directly from Zuplo's edge analytics network
- Declarative Config — Browse and list the configuration files that define your gateway's routing and policy logic
The Zuplo 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 Zuplo to Vercel AI SDK via MCP
Follow these steps to integrate the Zuplo 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 Zuplo and passes them to the LLM
Why Use Vercel AI SDK with the Zuplo MCP Server
Vercel AI SDK provides unique advantages when paired with Zuplo 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 Zuplo integration everywhere
Built-in streaming UI primitives let you display Zuplo 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
Zuplo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Zuplo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Zuplo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Zuplo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Zuplo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Zuplo through natural language queries
Zuplo MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Zuplo to Vercel AI SDK via MCP:
create_consumer
Create API key consumer
create_deployment
Create a new deployment
delete_consumer
Delete API key consumer
get_metrics
Get edge metrics
list_consumers
List API key consumers
list_custom_domains
List custom domains
list_deployments
List deployments
list_environments
g., working, production) for a Project. List project environments
list_files
List configuration files
list_projects
List Zuplo projects
Example Prompts for Zuplo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Zuplo immediately.
"List all my Zuplo projects."
"Check the latency metrics for 'proj-101'."
"Create a new consumer for 'Acme Partner' in project 'proj-101'."
Troubleshooting Zuplo MCP Server with Vercel AI SDK
Common issues when connecting Zuplo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpZuplo + Vercel AI SDK FAQ
Common questions about integrating Zuplo 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 Zuplo 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 Zuplo to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.