Feature Flag Rollout Calculator Connector for AI agents.
4 live capabilities
Plan and manage deterministic feature flag rollouts with precise statistical projections.
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Why people use Feature Flag Rollout Calculator
Feature Flag Rollout Calculator for Precise Deployment Math
With this Connector, you just ask your agent to do the work. It handles the hashing and the projections instantly. You get clear numbers on user impact and cohort overlap without ever opening a spreadsheet or running manual SQL queries.
What Vinkius changes
You get the math right every time without doing the heavy lifting yourself.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Verifying user inclusion in a rollout
An engineer asks their agent if a specific ID is part of a new UI rollout.
- Real-world use case 02
Predicting impact for a major launch
A product manager wants to know how many users will see a new checkout flow.
- Real-world use case 03
Detecting flag collisions
A data scientist is worried about two flags colliding.
Complete set · 4capabilities
The complete Feature Flag Rollout Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Feature Flag Rollout Calculator.
01—04
4 capabilities in this set.
Part of 4 available through Feature Flag Rollout Calculator.
- 01 Capability
Get user assignment
Checks if a specific user falls within a rollout percentage using consistent hashing for stability.
- 02 Capability
Project rollout impact
Predicts the exact number of users affected at every stage of a planned deployment schedule.
- 03 Capability
Analyze cohort overlap
Estimates where two different feature flag populations intersect to prevent unintended behavior.
- 04 Capability
Calculate statistical thresholds
Determines the required user count in a treatment group to detect specific metric regressions.
Set up in minutes
One URL. Then ask Feature Flag Rollout Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Feature Flag Rollout Calculator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Feature Flag Rollout Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Feature Flag Rollout Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Feature Flag Rollout Calculator URL.
- Step 03
Save and start
Save the connection and enable Feature Flag Rollout Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"feature-flag-rollout-calculator": {
"url": "https://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Feature Flag Rollout Calculator
Open Agent mode in chat and ask: "Using Feature Flag Rollout Calculator, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"feature-flag-rollout-calculator": {
"url": "https://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Feature Flag Rollout Calculator
Ask Copilot: "Using Feature Flag Rollout Calculator, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"feature-flag-rollout-calculator": {
"url": "https://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Feature Flag Rollout Calculator
Open Cascade and ask: "Using Feature Flag Rollout Calculator, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"feature-flag-rollout-calculator": {
"url": "https://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Feature Flag Rollout Calculator
Ask Cline: "Using Feature Flag Rollout Calculator, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add feature-flag-rollout-calculator --transport http "https://edge.vinkius.com/vk_preview_lSCWqvwFeIxZT5aRq7pxIFPfRB4jVj5nQX8h1rfL/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Feature Flag Rollout Calculator
Ask Claude: "Using Feature Flag Rollout Calculator, show me...". 4 tools are ready
Where the request belongs
Work Feature Flag Rollout Calculator can move forward.
This is for the DevOps engineer who's tired of manual rollout math at 2am and the product manager who needs to know exactly how many users a new feature will hit before they hit 'go'.
DevOps Engineer
Validates that rollout percentages are hitting the right targets and checking for overlapping flags during deployment.
Product Manager
Plans the rollout schedule and ensures experiments have enough users to be statistically significant.
Software Engineer
Checks if a specific user ID is included in a feature group while debugging production issues.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsDevCycle
Equip your AI agent to manage feature flags, monitor environments, and track variations via the DevCycle API.
GrowthBook
Manage feature flags and experiments via GrowthBook. control environments, toggle features, and organize projects directly from your AI agent.
Unleash (Feature Toggles)
Manage feature flags, strategies, and environments via Unleash. evaluate toggles, list projects, and monitor metrics directly from your AI agent.
Statsig
Manage feature flags, dynamic configs, and experiments. Evaluate gates and log events directly from your AI agent.
Deterministic Feature Flag Evaluator
Evaluate feature flags using consistent, hash-based logic to prevent session flicker.
Flipt
Manage feature flags and rollouts via Flipt. list namespaces, flags, segments, and rules directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Feature Flag Rollout Calculator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Feature Flag Rollout Calculator.
The practical details behind the request, access and result.
How does the Feature Flag Rollout Calculator help with A/B testing?
It calculates the exact sample size you need to detect a regression. This ensures your results are statistically significant before you commit to a full launch.
Can I use the Feature Flag Rollout Calculator to check specific users?
Yes, you can ask your agent to verify if a specific user ID is included in a rollout. It uses consistent hashing to give you a definitive yes or no.
How do I know how many people will see a new feature?
You can ask the Connector to project the impact of different rollout stages. It will tell you the exact number of users affected at each percentage level.
Will the Feature Flag Rollout Calculator help prevent bugs from overlapping flags?
Yes, it estimates the intersection of multiple concurrent flags. This helps you identify if two features might be clashing for the same group of users.
Does the Feature Flag Rollout Calculator handle the actual toggling of flags?
No, this Connector handles the math and logic for rollouts. You still need your own system to store and toggle the flags themselves.
Why should I use this instead of a spreadsheet?
It's much faster and more accurate. It uses the same hashing logic your production system uses, so the numbers you see in your agent's chat are exactly what your users will experience.
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.
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.
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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