Kameleoon 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 Kameleoon 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 Kameleoon, 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 Kameleoon MCP Server
Empower your AI agents to control your Kameleoon experimentation platform. This MCP server enables seamless management of experiments, variations, and audience segments directly from natural language interfaces.
The Vercel AI SDK gives every Kameleoon 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
- Experiment Control — List all active experiments and drill down into specific configurations and metadata
- Variation Management — Inspect A/B variations and their statuses across different digital properties
- Site Inventory — Query all sites and properties registered in your account to ensure correct environment targeting
- Audience Segmentation — List defined audience segments and targeting rules used for precise traffic allocation
- Results Triggering — Request latest results reports to analyze experiment performance on the fly
The Kameleoon 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 Kameleoon to Vercel AI SDK via MCP
Follow these steps to integrate the Kameleoon 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 Kameleoon and passes them to the LLM
Why Use Vercel AI SDK with the Kameleoon MCP Server
Vercel AI SDK provides unique advantages when paired with Kameleoon 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 Kameleoon integration everywhere
Built-in streaming UI primitives let you display Kameleoon 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
Kameleoon + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kameleoon MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kameleoon in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kameleoon tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kameleoon capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kameleoon through natural language queries
Kameleoon MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kameleoon to Vercel AI SDK via MCP:
create_experiment
Requires a name and a site ID. Create a new experiment
get_experiment
Get details for a specific experiment
get_experiment_results
This is an asynchronous process in the Kameleoon API. Request a results report for an experiment
get_site
Get details for a specific site
list_custom_data
List custom data dimensions
list_experiments
Use this to monitor campaign statuses and identify active experiments. List all experiments in Kameleoon
list_segments
List audience segments
list_sites
List all sites in the account
list_targeting_rules
List targeting rules
list_variations
) associated with a specific experiment ID. List variations for an experiment
Example Prompts for Kameleoon in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kameleoon immediately.
"Show me all active experiments in my Kameleoon account."
"What are the variations for experiment ID '12345'?"
"List all sites registered in my Kameleoon profile."
Troubleshooting Kameleoon MCP Server with Vercel AI SDK
Common issues when connecting Kameleoon to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKameleoon + Vercel AI SDK FAQ
Common questions about integrating Kameleoon 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 Kameleoon 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 Kameleoon to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.