Compatible with every major AI agent and IDE
Create experiment on Kameleoon
Requires a name and a site ID. Create a new experiment
Get experiment on Kameleoon
Get details for a specific experiment
Get experiment results on Kameleoon
This is an asynchronous process in the Kameleoon API. Request a results report for an experiment
Get site on Kameleoon
Get details for a specific site
List custom data on Kameleoon
List custom data dimensions
List experiments on Kameleoon
Use this to monitor campaign statuses and identify active experiments. List all experiments in Kameleoon
List segments on Kameleoon
List audience segments
List sites on Kameleoon
List all sites in the account
List targeting rules on Kameleoon
List targeting rules
List variations on Kameleoon
) associated with a specific experiment ID. List variations for an experiment
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
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.
Automated Workflows using Kameleoon
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Kameleoon MCP server to manage operations across the following domains.
LLM Orchestration for ab testing
Connect Kameleoon to your AI agents (Claude, ChatGPT, Cursor) to manage ab testing operations. The MCP server processes the underlying API requests and schema formatting for the developer tools domain.
AI Semantic Routing for personalization
Connect the Kameleoon server to enable personalization workflows. The integration provides structured schemas for Claude to mutate developer tools data.
Kameleoon. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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