Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Deterministic Feature Flag Evaluator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Evaluate feature flags using consistent, hash-based logic to prevent session flicker.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Deterministic Feature Flag Evaluator capability set.

These are the exact actions your AI can choose when you ask it to work with Deterministic Feature Flag Evaluator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Deterministic Feature Flag Evaluator.

  1. 01

    Get flag config

    Retrieves the configuration for a given flag key

  2. 02

    Verify distribution

    Verifies if the flag distribution is uniform across a sample size

  3. 03

    Evaluate flag

    Evaluates if a feature flag is enabled for a specific user

Observed, not estimated

637ms average. Fast in production.

Deterministic Feature Flag Evaluator is checked daily against the live service.

Daily averagePeak 769ms
Aug 24Today
Fastest day
546ms
Slowest day
769ms
14-day trend
Stable+3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Deterministic Feature Flag Evaluator, so you can see the experience inside your AI.

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

Deterministic Feature Flag Evaluator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_mJg3N5dkuJ85CZUCtgsgYqCDidYVfave0kJ71YOn/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 — Deterministic Feature Flag Evaluator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deterministic-feature-flag-evaluator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_mJg3N5dkuJ85CZUCtgsgYqCDidYVfave0kJ71YOn/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

FAQ

Questions Deterministic Feature Flag Evaluator owners ask.

  • 01

    How does the system ensure a user doesn't see a feature flicker?

    The system uses CRC32 hashing of the flagKey and userId. Since these inputs are immutable for a specific user and flag, the resulting hash value remains constant, ensuring the feature state does not change between sessions.

  • 02

    Can I bypass the percentage rollout for specific users?

    Yes. By providing an allowedIds list within the rulesJson parameter of the evaluate_flag capability, you can explicitly enable a feature for specific users regardless of the percentage rollout.

  • 03

    How do I verify if my rollout is actually distributed correctly?

    You can use the verify_distribution capability. By specifying a target percentage and a sample size, the capability will simulate users and report if the observed distribution matches your expected rollout percentage.

Explore

More in Infrastructure

Suggestions