Jebbit 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 Jebbit 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 Jebbit, 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 Jebbit MCP Server
Empower your AI agents with Jebbit's interactive experience platform. This MCP server allows you to list experiences, retrieve consumer attributes, manage audience segments, and track reporting jobs directly through the Jebbit API. Ideal for leveraging zero-party data and automating marketing insights.
The Vercel AI SDK gives every Jebbit 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.
The Jebbit 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 Jebbit to Vercel AI SDK via MCP
Follow these steps to integrate the Jebbit 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 Jebbit and passes them to the LLM
Why Use Vercel AI SDK with the Jebbit MCP Server
Vercel AI SDK provides unique advantages when paired with Jebbit 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 Jebbit integration everywhere
Built-in streaming UI primitives let you display Jebbit 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
Jebbit + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Jebbit MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Jebbit in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Jebbit tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Jebbit capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Jebbit through natural language queries
Jebbit MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Jebbit to Vercel AI SDK via MCP:
get_account
Use to verify account status. Retrieves account details
get_experience
Use this to understand the structure or overall results of a specific quiz or survey. Retrieves details for a specific experience
list_attributes
g., "favorite_color", "purchase_intent") that have been captured across experiences. Essential for understanding what consumer insights are available. Lists all consumer attributes captured
list_campaigns
Use this to monitor where traffic to experiences is coming from. Lists all active campaigns
list_experiences
Returns experience names, IDs, and publication status. Use this to identify which interactive content is available for analysis. Lists all interactive experiences
list_integrations
Useful for verifying data flow to other platforms. Lists all active integrations
list_reporting_jobs
Use this to check the status of large data requests. Lists all recent reporting jobs
list_segments
Useful for identifying high-value cohorts for targeted marketing. Lists all audience segments
list_users
Useful for account auditing and permission checks. Lists all platform users
list_webhooks
Useful for auditing integrations. Lists all configured webhooks
Example Prompts for Jebbit in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Jebbit immediately.
"List all interactive experiences in my Jebbit account."
"Show me the consumer attributes captured by my quizzes."
"Check for any recent reporting jobs."
Troubleshooting Jebbit MCP Server with Vercel AI SDK
Common issues when connecting Jebbit to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJebbit + Vercel AI SDK FAQ
Common questions about integrating Jebbit 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 Jebbit 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 Jebbit to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.