How can I check if an experiment is currently active on a specific site?

Use the `list_experiments` tool to get a summary of all experiments, which includes their current status (e.g., 'ACTIVE', 'PAUSED') and assigned site IDs.

Can I see the defined variations for a particular experiment?

Yes, the `list_variations` tool takes an experiment ID and returns all variants configured for that test, along with their metadata.

Is it possible to list targeting rules and segments?

Absolutely. You can use the `list_segments` and `list_targeting_rules` tools to inspect how your traffic is being allocated across your experimentation ecosystem.

Kameleoon MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Kameleoon
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Kameleoon as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="kameleoon_agent",
    instruction=(
        "You help users interact with Kameleoon "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Kameleoon as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Kameleoon MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Kameleoon via MCP

Why Use Google ADK with the Kameleoon MCP Server

Google ADK provides unique advantages when paired with Kameleoon through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Kameleoon

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Kameleoon tools with BigQuery, Vertex AI, and Cloud Functions

Kameleoon + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Kameleoon MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Kameleoon and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Kameleoon tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Kameleoon regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Kameleoon

Kameleoon MCP Tools for Google ADK (10)

These 10 tools become available when you connect Kameleoon to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Kameleoon to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Kameleoon + Google ADK FAQ

Common questions about integrating Kameleoon MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.