ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Startup Feature Prioritization with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Prioritize product features using the RICE framework.

Included with plan

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

Complete set · 4 capabilities

The complete Startup Feature Prioritization capability set.

These are the exact actions your AI can choose when you ask it to work with Startup Feature Prioritization.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Startup Feature Prioritization.

  1. 01

    Calculate rice score

    Calculates the individual RICE score for a specific feature

  2. 02

    Get feature prioritization

    You can optionally provide an alignment weight to boost strategic features. Generates a ranked list of features based on their RICE scores and strategic alignment

  3. 03

    Get roadmap recommendation

    Optionally include dependencies to ensure prerequisites are scheduled first. Provides a sequential execution plan that respects dependencies and priority

  4. 04

    Search features by metric

    Filters and retrieves features based on specific performance or cost criteria

One connector, every AI

Startup Feature Prioritization 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.

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

You don't need a client to put Startup Feature Prioritization 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.

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 Startup Feature Prioritization, so you can see the experience inside your AI.

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

Startup Feature Prioritization Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_4ocNOWMRq6J8tK9XifIxwhMJeXY1Ak2UKkofbRWA/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 — Startup Feature Prioritization capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "startup-feature-prioritization-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4ocNOWMRq6J8tK9XifIxwhMJeXY1Ak2UKkofbRWA/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? How to give Claude access to Startup Feature Prioritization

See all the AI clients this connector works with ↑

FAQ

Questions Startup Feature Prioritization owners ask.

  • 01

    How is the RICE score calculated?

    The score is calculated by multiplying Reach, Impact, and Confidence, then dividing the result by Effort.

  • 02

    Can I account for feature dependencies in the roadmap?

    Yes, when using get_roadmap_recommendation, you can set the dependency flag to ensure prerequisites are scheduled before the features that depend on them.

  • 03

    How do I boost features that align with my business goals?

    You can use the alignmentWeight parameter in get_feature_prioritization to apply a multiplier to features that have high strategic relevance.