Vinkius

Unleash MCP. Audit feature flags, environments, and user contexts instantly.

Unleash connects your AI agent directly to your feature flag system. It lets you manage complex product rollouts—from auditing environments to checking if a specific user sees a new beta feature—all through natural conversation. You can evaluate flags, list projects, and monitor usage metrics without ever opening the Unleash UI.

Unleash MCP is compatible with Claude Claude
Unleash MCP is compatible with ChatGPT ChatGPT
Unleash MCP is compatible with Cursor Cursor
Unleash MCP is compatible with Gemini Gemini
Unleash MCP is compatible with Windsurf Windsurf
Unleash MCP is compatible with VS Code VS Code
Unleash MCP is compatible with JetBrains JetBrains
Unleash MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Audit Infrastructure Layout

List every project, environment, and segment defined in your Unleash system to understand the full scope of your feature management.

Determine Feature Visibility by Context

Evaluate which features are enabled for a specific user, or based on client properties, simulating how your application will render flags in real time.

Manage and Inspect Flag Statuses

Get comprehensive details on all feature flags within a project, verifying their current rollout status and strategy configurations.

Track Usage Metrics

Report flag usage data from both backend SDKs and frontend clients directly through the agent's tools.

Waiting for input…

AI Agent
Unleash

What AI agents can do with Unleash (Feature Toggles): 11 Tools Available

These tools give your AI agent programmatic access to every core function of your feature flag system, allowing you to audit configurations and track usage data directly.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Unleash (Feature Toggles) MCP

List Environments

Retrieves a comprehensive list of all operational environments configured in Unleash.

List Project Features

Lists every single feature flag defined within a specific project ID.

List Projects

Fetches an exhaustive list of all projects managed by Unleash.

List Segments

Retrieves details on every user segment configured in your feature management system.

List Users

Provides a list of all individual users and their associated IDs within Unleash.

Get Client Features

Fetches the complete set of feature flags and strategies for server-side evaluation.

Report Client Metrics

Sends flag usage metrics data reported from a backend SDK instance.

Register Client

Registers and authenticates a new backend SDK instance for metric reporting.

Get Frontend Features

Determines which feature flags are enabled by optionally providing context like user...

Report Frontend Metrics

Sends flag usage metrics data reported from a frontend SDK instance.

Register Frontend

Registers and authenticates a new frontend SDK instance for metric reporting.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Unleash MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Unleash integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Unleash (Feature Toggles), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Unleash MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Unleash. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Auditing your feature rollout status used to mean jumping between five different tabs.

Today, checking the full scope of a new release is tedious. You have to navigate to the Project list, then check the environments, and for every single flag, you might need to cross-reference segments or users just to see who gets access. It's clicking through dashboards until your finger hurts.

With this MCP, that entire audit becomes a conversation. Ask your agent to 'List all projects and their associated environments.' You get the full infrastructure map instantly. What changes is that you stop navigating; you start asking.

Unleash (Feature Toggles) gives you real-time feature context.

Previously, if a developer wanted to know how the code would behave for a specific user in a test environment, they had to manually simulate that user's properties and run checks. This was slow and error-prone.

Now, you can pass context variables directly to your agent. By using `get_frontend_features`, you tell your AI client exactly who the user is and what their profile looks like, so it evaluates the flags correctly, every single time.

What Unleash MCP does for your AI

Managing features across different parts of your application is complicated. You need to know if 'new-dashboard-v2' should only show up for internal users or if it’s rolled out globally, depending on where the request comes from. This MCP gives your agent full control over that process.

It lets you audit your entire feature setup—listing all projects and environments configured across your infrastructure. You can verify targeting rules by listing users and segments, checking who is supposed to see what. Need to know if a flag works for the backend or only on the client side? The agent handles it.

Plus, you don't have to manually report usage metrics; you can send that data straight back through your AI client, making sure everything stays synced. When you connect this MCP via Vinkius, your entire feature lifecycle becomes conversational.

Built · Hosted · Managed by Vinkius Unleash (Feature Toggles) - Manage Feature Flags with AI
Server ID 019e3902-039a-71b2-97c4-7a329a71a79f
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Frequently asked questions about Unleash MCP

How do I check if a feature flag works on the backend with Unleash (Feature Toggles) MCP? +

You use the get_client_features tool. This fetches all feature flags and strategies specifically for server-side evaluation, giving you the definitive backend status.

Can I list user data using Unleash (Feature Toggles) MCP? +

Yes, use the list_users tool. It fetches a comprehensive list of all users configured in your feature management system so you can verify targeting rules.

What if I need to track usage data from my mobile app? Should I use Unleash (Feature Toggles) MCP? +

Yes. You should register the client using register_client and then send usage metrics with report_client_metrics to ensure your backend SDK is reporting accurately.

Is Unleash (Feature Toggles) MCP better than just checking flags in the UI? +

Absolutely. The agent allows you to chain together multiple checks—like listing projects, then checking flag status for a segment—in one go, which is impossible manually.

How do I ensure my frontend metrics are tracked correctly with Unleash (Feature Toggles) MCP? +

First, use register_frontend to authenticate the web instance. Then, pass usage data via report_frontend_metrics for accurate front-end tracking.