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Kameleoon MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Kameleoon through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "kameleoon": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Kameleoon Agent",
    instructions:
      "You help users interact with Kameleoon " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Kameleoon?"
  );
  console.log(result.text);
}

main();
Kameleoon
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Kameleoon tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Kameleoon MCP Server with Mastra AI.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 10 tools from Kameleoon via MCP

Why Use Mastra AI with the Kameleoon MCP Server

Mastra AI provides unique advantages when paired with Kameleoon through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Kameleoon without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Kameleoon tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Kameleoon + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Kameleoon MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Kameleoon, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Kameleoon as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Kameleoon on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Kameleoon tools alongside other MCP servers

Kameleoon MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Kameleoon to Mastra AI via MCP:

01

create_experiment

Requires a name and a site ID. Create a new experiment

02

get_experiment

Get details for a specific experiment

03

get_experiment_results

This is an asynchronous process in the Kameleoon API. Request a results report for an experiment

04

get_site

Get details for a specific site

05

list_custom_data

List custom data dimensions

06

list_experiments

Use this to monitor campaign statuses and identify active experiments. List all experiments in Kameleoon

07

list_segments

List audience segments

08

list_sites

List all sites in the account

09

list_targeting_rules

List targeting rules

10

list_variations

) associated with a specific experiment ID. List variations for an experiment

Example Prompts for Kameleoon in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Kameleoon immediately.

01

"Show me all active experiments in my Kameleoon account."

02

"What are the variations for experiment ID '12345'?"

03

"List all sites registered in my Kameleoon profile."

Troubleshooting Kameleoon MCP Server with Mastra AI

Common issues when connecting Kameleoon to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Kameleoon + Mastra AI FAQ

Common questions about integrating Kameleoon MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Kameleoon to Mastra AI

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