Optimizely 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 Optimizely 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 Optimizely, 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 Optimizely MCP Server
Connect your Optimizely account to any AI agent and take full control of your experimentation and feature management workflows through natural conversation.
The Vercel AI SDK gives every Optimizely 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 Overview — List all projects and retrieve detailed metadata to maintain a clear view of your workspace.
- Experiment Management — List experiments, check current status (running, paused, draft), and retrieve detailed configurations.
- Feature Flag Tracking — List feature flags and inspect their definitions across different projects.
- Audience & Event Auditing — List defined audiences and conversion events to verify your targeting and tracking setup.
- Live Controls — Start or pause experiments directly through the agent to react quickly to results or issues.
The Optimizely 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 Optimizely to Vercel AI SDK via MCP
Follow these steps to integrate the Optimizely 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 Optimizely and passes them to the LLM
Why Use Vercel AI SDK with the Optimizely MCP Server
Vercel AI SDK provides unique advantages when paired with Optimizely 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 Optimizely integration everywhere
Built-in streaming UI primitives let you display Optimizely 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
Optimizely + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Optimizely MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Optimizely in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Optimizely tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Optimizely capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Optimizely through natural language queries
Optimizely MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Optimizely to Vercel AI SDK via MCP:
get_experiment
Get details for a specific experiment
get_feature_flag
Get details for a specific feature flag
get_project
Get details for a specific project
list_audiences
List defined audiences in a project
list_events
List conversion events in a project
list_experiments
List experiments in a project
list_feature_flags
List feature flags in a project
list_projects
List all Optimizely projects
pause_experiment
Set experiment status to paused
start_experiment
Set experiment status to running
Example Prompts for Optimizely in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Optimizely immediately.
"List all Optimizely projects in my account."
"Check the status of all experiments in project 12345."
"Pause experiment 67890 in project 12345."
Troubleshooting Optimizely MCP Server with Vercel AI SDK
Common issues when connecting Optimizely to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOptimizely + Vercel AI SDK FAQ
Common questions about integrating Optimizely 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 Optimizely 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 Optimizely to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.