Optimizely MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Optimizely through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Optimizely and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"optimizely": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Optimizely MCP Server
Connect your Optimizely account to any AI agent and take full control of your experimentation and feature management workflows through natural conversation.
Windsurf's Cascade agent chains multiple Optimizely tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Project Overview — List all projects and retrieve detailed metadata to maintain a clear view of your workspace.
- Experiment Management — List experiments, check current status (running, paused, draft), and retrieve detailed configurations.
- Feature Flag Tracking — List feature flags and inspect their definitions across different projects.
- Audience & Event Auditing — List defined audiences and conversion events to verify your targeting and tracking setup.
- Live Controls — Start or pause experiments directly through the agent to react quickly to results or issues.
The Optimizely MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 Optimizely to Windsurf via MCP
Follow these steps to integrate the Optimizely MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Optimizely
Open Cascade and ask: "Using Optimizely, help me...". 10 tools available
Why Use Windsurf with the Optimizely MCP Server
Windsurf provides unique advantages when paired with Optimizely through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Optimizely + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Optimizely MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Optimizely and generate models, types, or handlers based on real API responses
Live debugging: query Optimizely tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Optimizely and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Optimizely data with Cascade's code generation to scaffold entire features in minutes
Optimizely MCP Tools for Windsurf (10)
These 10 tools become available when you connect Optimizely to Windsurf via MCP:
get_experiment
Get details for a specific experiment
get_feature_flag
Get details for a specific feature flag
get_project
Get details for a specific project
list_audiences
List defined audiences in a project
list_events
List conversion events in a project
list_experiments
List experiments in a project
list_feature_flags
List feature flags in a project
list_projects
List all Optimizely projects
pause_experiment
Set experiment status to paused
start_experiment
Set experiment status to running
Example Prompts for Optimizely in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Optimizely immediately.
"List all Optimizely projects in my account."
"Check the status of all experiments in project 12345."
"Pause experiment 67890 in project 12345."
Troubleshooting Optimizely MCP Server with Windsurf
Common issues when connecting Optimizely to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Optimizely + Windsurf FAQ
Common questions about integrating Optimizely MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Optimizely with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Optimizely to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.