Kameleoon MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Kameleoon as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="kameleoon_agent",
tools=tools,
system_message=(
"You help users with Kameleoon. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Kameleoon tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Kameleoon MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Kameleoon automatically
Why Use AutoGen with the Kameleoon MCP Server
AutoGen provides unique advantages when paired with Kameleoon through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Kameleoon tools to solve complex tasks
Role-based architecture lets you assign Kameleoon tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Kameleoon tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Kameleoon tool responses in an isolated environment
Kameleoon + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Kameleoon MCP Server delivers measurable value.
Collaborative analysis: one agent queries Kameleoon while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Kameleoon, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Kameleoon data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Kameleoon responses in a sandboxed execution environment
Kameleoon MCP Tools for AutoGen (10)
These 10 tools become available when you connect Kameleoon to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Kameleoon to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Kameleoon + AutoGen FAQ
Common questions about integrating Kameleoon MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
