Optimizely Experimentation MCP server quickstart
- Optimizely Web Experimentation
- Optimizely Personalization
- Optimizely Feature Experimentation
- Optimizely Performance Edge
Get your agent connected to Optimizely Experimentation using the following steps.
Prerequisites
- An Optimizely account with Opal enabled, connected to at least one Feature Experimentation or Web Experimentation instance.
- One of the following AI clients installed:
- Claude Code (CLI)
- Claude Desktop
- Claude.ai
- Cursor
- Visual Studio Code
- Windsurf
Add the MCP server to your AI client
Add the Optimizely MCP server URL to your client's MCP configuration:
https://exp.mcp.opal.optimizely.com/mcpWhere to add this depends on your client.
- Claude Code – Run claude mcp add --transport http optimizely-exp https://exp.mcp.opal.optimizely.com/mcp.
- Claude Desktop – Go to Settings > MCP Servers > Add Server.
- Claude.ai – Go to Settings > Integrations > Add MCP Server.
- Cursor – Go to Settings > MCP > Add new MCP server.
- Visual Studio Code – Open MCP settings in the Copilot configuration.
- Windsurf – Go to Settings > MCP Servers, or edit .windsurf/mcp.json in your project root.
For detailed, client-specific configuration instructions, see Install Optimizely Experimentation MCP server.
Authenticate with Optimizely
When your AI client connects to the MCP server for the first time, it opens an Open Authorization (OAuth) flow in your browser.
- Log in with your Opti IDOpti ID credentials (Optimizely's unified identity system, the same login you use for the Optimizely UI).
- Connect to your Opal instance.
- Authorize the MCP connection.
You do not need to create a separate API token or manage credentials manually. The MCP server uses your Optimizely identity and respects your existing account permissions.
Your authentication session is time-limited. When it expires, your AI client notifies you that re-authentication is required. The exact prompt varies by client, but you can complete the OAuth flow again by following the prompt.
Run your first query
After you authenticate, your agent has access to your Optimizely data. To run your first query, enter List my Optimizely projects.
Your agent calls the MCP server, retrieves your project list, and returns the results: project names, IDs, and status.
Verify it works
A working connection lets you
- See Optimizely tools listed in your AI client's available tools (look for tools prefixed with exp_).
- Get a response to List my Optimizely projects that includes real project data from your account.
- Ask follow-up questions about the returned data without re-authenticating.
If the server is not responding or you do not see the exp_ tools listed, see the Troubleshoot section of the Install Optimizely Experimentation MCP server article.
What to try next
When you have confirmed the connection works, try these prompts to explore the full range of available capabilities. Replace YOUR_PROJECT_NAME with the name of one of your Optimizely projects (visible in the Optimizely UI under Projects).
- Query your experiments – Show me all running experiments in YOUR_PROJECT_NAME.
- Check experiment results – What are the results for experiment EXPERIMENT_NAME?
- Get SDK implementation help – Help me get started with the React SDK for feature flags.
- Compare environments – What flags are enabled in production but not in staging?
Next steps
- Install Optimizely Experimentation MCP server – Detailed configuration instructions for each supported AI client.
- Optimizely Experimentation MCP server example prompts – A library of useful queries organized by workflow.