Compatible with every major AI agent and IDE
Get experiment on Optimizely
Get details for a specific experiment
Get feature flag on Optimizely
Get details for a specific feature flag
Get project on Optimizely
Get details for a specific project
List audiences on Optimizely
List defined audiences in a project
List events on Optimizely
List conversion events in a project
List experiments on Optimizely
List experiments in a project
List feature flags on Optimizely
List feature flags in a project
List projects on Optimizely
List all Optimizely projects
Pause experiment on Optimizely
Set experiment status to paused
Start experiment on Optimizely
Set experiment status to running
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.
How do I find my Project ID?
You can use the list_projects tool to see all projects associated with your account along with their IDs. You can also find it in the URL when viewing a project in the Optimizely dashboard.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Supported Use Cases for Optimizely
The Optimizely integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
LLM Orchestration for ab testing
Connect Optimizely 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 data analytics domain.
Scaling feature flags via MCP
Deploy the Optimizely toolkit to manage feature flags. The integration offers robust endpoints for ChatGPT to control data analytics settings.
Optimizely. 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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