Where do I find my Personal Access Token?

In Optimizely, go to **Profile Settings** > **API Access** and generate a new Personal Access Token. Ensure it has the necessary permissions for the projects you want to manage.

Can I start an experiment that is in draft mode?

Yes, using the `start_experiment` tool will attempt to set the status to 'running'. However, Optimizely requires the experiment to be valid and fully configured before it can transition from draft to running.

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.

Optimizely MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Optimizely
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Optimizely through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "optimizely": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Optimizely, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Optimizely through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Optimizely MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Optimizely via MCP

Why Use LangChain with the Optimizely MCP Server

LangChain provides unique advantages when paired with Optimizely through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Optimizely MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Optimizely queries for multi-turn workflows

Optimizely + LangChain Use Cases

Practical scenarios where LangChain combined with the Optimizely MCP Server delivers measurable value.

RAG with live data: combine Optimizely tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Optimizely, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Optimizely tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Optimizely tool call, measure latency, and optimize your agent's performance

Optimizely MCP Tools for LangChain (10)

These 10 tools become available when you connect Optimizely to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Optimizely to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Optimizely + LangChain FAQ

Common questions about integrating Optimizely MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.