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Connect Feature Flag Rollout Calculator to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run the math for safer, data-driven feature deployments.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Feature Flag Rollout Calculator.

  1. 01

    Analyze cohort overlap

    Estimates the potential intersection between two different feature flag populations. Use this to see how much two concurrent rollouts might affect the same group of users.

  2. 02

    Calculate statistical thresholds

    Determines the required number of users in a treatment group to detect a metric regression. This ensures your experiments have enough statistical power.

  3. 03

    Get user assignment

    Checks if a specific user falls within a feature flag's current rollout percentage. It uses consistent hashing to ensure the assignment is deterministic.

  4. 04

    Project rollout impact

    Predicts the number of users affected at each stage of a deployment schedule. This helps you plan capacity and impact for predefined rollout steps.

Real work

What teams actually run

01

Ramping Up Features

Predict how many users will be on a new feature when you move from 10% to 25% rollout.

02

Experiment Design

Calculate the exact number of users needed to reach statistical significance for a new metric.

03

Collision Prevention

Estimate the overlap between two flags to ensure they don't hit the same user group unexpectedly.

04

User Verification

Confirm if a specific test account will be included in a current rollout percentage.

One connector, every AI

Feature Flag Rollout Calculator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Feature Flag Rollout Calculator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

688ms average. Fast in production.

Feature Flag Rollout Calculator is checked daily against the live service.

Daily averagePeak 803ms
Oct 3Today
Fastest day
561ms
Slowest day
803ms
14-day trend
Improving-10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Feature Flag Rollout Calculator, so you can see the experience inside your AI.

It does not authenticate your account with Feature Flag Rollout Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Feature Flag Rollout Calculator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Feature Flag Rollout Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "feature-flag-rollout-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Feature Flag Rollout Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Feature Flag Rollout Calculator owners hand off.

This MCP is built for engineering and product teams who need to move fast without breaking things. You can hand off the math to your agent so you can focus on the code.

  • 01

    DevOps Engineers

    Use the agent to project rollout impact and plan deployment schedules.

  • 02

    Product Managers

    Ask the agent to calculate required sample sizes for feature experiments.

  • 03

    Software Engineers

    Verify user assignments and check for cohort overlaps during feature development.

FAQ

Questions Feature Flag Rollout Calculator owners ask.

  • 01

    How does this MCP handle user assignments?

    It uses consistent hashing to ensure that user assignments are deterministic and predictable based on the rollout percentage.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 03

    What is the purpose of the statistical threshold capability?

    It calculates the number of users required in a treatment group to detect a specific metric regression with statistical confidence.

  • 04

    Does this help with feature flag collisions?

    Yes, the analyze_cohort_overlap capability estimates the intersection of different feature flag populations to help you understand potential overlaps.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect your client.

  • 06

    How does the user assignment work?

    The get_user_assignment capability uses consistent hashing of the User ID and Feature Key to ensure that a user's assignment remains deterministic at any given rollout percentage.

  • 07

    Can I use this for A/B testing?

    Yes. You can use calculate_statistical_thresholds to determine the necessary sample size to detect a specific Minimum Detectable Effect (MDE) with your desired confidence level.

  • 08

    How do I estimate the impact of a multi-stage rollout?

    Use project_rollout_impact by providing your total population size and a schedule of percentages to see both active and incremental user counts at each stage.

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