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VWO MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect VWO through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 VWO, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
VWO
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 VWO MCP Server

Connect your VWO (Visual Website Optimizer) account to any AI agent and take control of your experimentation and feature rollout workflows through natural conversation.

The Vercel AI SDK gives every VWO tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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

  • Optimization Campaigns — List and monitor active A/B tests and personalization campaigns directly from your agent
  • Feature Management — List all feature flags and toggle their status across different environments for instant rollouts
  • Experiment Results — Retrieve statistical results for any campaign, including performance metrics and significance levels
  • Conversion Tracking — Browse conversion goals and KPIs being tracked to understand your optimization impact
  • Audience Segmentation — List pre-defined segments to see how you are targeting different user groups
  • Environment Control — Manage features across staging, production, and other configured VWO environments

The VWO 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 VWO to Vercel AI SDK via MCP

Follow these steps to integrate the VWO MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from VWO and passes them to the LLM

Why Use Vercel AI SDK with the VWO MCP Server

Vercel AI SDK provides unique advantages when paired with VWO through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same VWO integration everywhere

03

Built-in streaming UI primitives let you display VWO tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

VWO + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the VWO MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query VWO in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate VWO tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed VWO capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with VWO through natural language queries

VWO MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect VWO to Vercel AI SDK via MCP:

01

get_campaign_details

Retrieves details for a specific VWO campaign

02

get_campaign_results

Retrieves statistical results for a VWO campaign

03

get_feature_flag_details

Retrieves configuration for a specific VWO feature flag

04

get_vwo_account_info

Retrieves details about the authenticated VWO account

05

list_audience_segments

Lists all audience segments

06

list_conversion_goals

g. clicks, revenue) are being tracked. Lists all conversion goals and metrics

07

list_feature_flags

Lists all VWO feature flags

08

list_optimization_campaigns

Lists all VWO A/B test and personalization campaigns

09

list_vwo_environments

g. Production, Staging) for feature flag management. Lists all configured VWO environments

10

toggle_feature_flag

Provide the feature ID and the desired enabled status (true/false). Enables or disables a VWO feature flag

Example Prompts for VWO in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with VWO immediately.

01

"List all my active A/B testing campaigns."

02

"What are the results for the 'Checkout Flow Optimization' campaign?"

03

"Disable the feature flag for 'new_payment_gateway'."

Troubleshooting VWO MCP Server with Vercel AI SDK

Common issues when connecting VWO to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

VWO + Vercel AI SDK FAQ

Common questions about integrating VWO MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect VWO to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.