Bring Ab Testing
to LangChain
Create your Vinkius account to connect Kameleoon to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Kameleoon MCP Server?
Empower your AI agents to control your Kameleoon experimentation platform. This MCP server enables seamless management of experiments, variations, and audience segments directly from natural language interfaces.
What you can do
- Experiment Control — List all active experiments and drill down into specific configurations and metadata
- Variation Management — Inspect A/B variations and their statuses across different digital properties
- Site Inventory — Query all sites and properties registered in your account to ensure correct environment targeting
- Audience Segmentation — List defined audience segments and targeting rules used for precise traffic allocation
- Results Triggering — Request latest results reports to analyze experiment performance on the fly
How it works
- Subscribe to this server
- Enter your Kameleoon Client ID and Client Secret
- Start managing your A/B tests and personalization from Claude, Cursor, or any MCP client
Who is this for?
- Product Managers — Monitor the status of live experiments and check variants without logging into the Kameleoon dashboard
- Growth Engineers — Quickly query targeting rules and custom data dimensions from your IDE
- Data Analysts — Automate the retrieval of experiment results and metadata for reporting
Built-in capabilities (10)
Requires a name and a site ID. Create a new experiment
Get details for a specific experiment
This is an asynchronous process in the Kameleoon API. Request a results report for an experiment
Get details for a specific site
List custom data dimensions
Use this to monitor campaign statuses and identify active experiments. List all experiments in Kameleoon
List audience segments
List all sites in the account
List targeting rules
) associated with a specific experiment ID. List variations for an experiment
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Kameleoon 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.
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The largest ecosystem of integrations, chains, and agents. combine Kameleoon MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Kameleoon queries for multi-turn workflows
Kameleoon in LangChain
Why run Kameleoon with Vinkius?
The Kameleoon connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Kameleoon using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Kameleoon and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Kameleoon to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Kameleoon for LangChain
Every request between LangChain and Kameleoon is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How can I check if an experiment is currently active on a specific site?
Use the list_experiments tool to get a summary of all experiments, which includes their current status (e.g., 'ACTIVE', 'PAUSED') and assigned site IDs.
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.
Is it possible to list targeting rules and segments?
Absolutely. You can use the list_segments and list_targeting_rules tools to inspect how your traffic is being allocated across your experimentation ecosystem.
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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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