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Connect Natural Light Estimator to ChatGPT and Claude

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. Turn building code requirements into precise window dimensions.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Natural Light Estimator.

  1. 01

    Estimate light level

    Calculates the expected natural light in a room by factoring in window area, room area, and latitude.

  2. 02

    Recommend improvements

    Suggests practical ways to increase light levels based on a specific lighting category.

  3. 03

    Classify lighting

    Categorizes a calculated lux level into specific buckets like dark, dim, adequate, or bright.

Real work

What teams actually run

01

Initial Floor Plan Review

Check if proposed window sizes will provide enough light for a new layout.

02

Code Compliance Verification

Ensure window-to-floor area ratios meet international building standards.

03

Remodeling Consultations

Suggest window upgrades for existing rooms that are too dark.

04

Passive Design Optimization

Balance natural light and ventilation requirements during the early design phase.

Automate a task

Put Natural Light Estimator to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Natural Light Estimator 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 Natural Light Estimator 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

715ms average. Fast in production.

Natural Light Estimator is checked daily against the live service.

Daily averagePeak 936ms
Oct 3Today
Fastest day
595ms
Slowest day
936ms
14-day trend
Improving-5%

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 Natural Light Estimator, so you can see the experience inside your AI.

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

Natural Light Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_OCrUIacGgcSp1acV0GXtQmDMx9Pr8HGrtS5PLn4Z/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 — Natural Light Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "natural-light-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_OCrUIacGgcSp1acV0GXtQmDMx9Pr8HGrtS5PLn4Z/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 Natural Light Estimator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Natural Light Estimator owners hand off.

Architects and building designers use this to automate the tedious math of passive design.

  • 01

    Architects

    Hand off room dimensions to the AI to get instant window sizing specs.

  • 02

    Building Designers

    Use the capability to verify that passive lighting designs meet local standards.

  • 03

    Passive House Consultants

    Leverage lux calculations to optimize natural light and ventilation.

FAQ

Questions Natural Light Estimator owners ask.

  • 01

    How does this MCP help with building codes?

    It translates required area ratios into specific, buildable window dimensions that meet standard requirements.

  • 02

    What clients can I use this with?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Does it account for location?

    Yes, the estimation capability uses latitude to provide more accurate natural light calculations.

  • 04

    Can it suggest changes to my design?

    Yes, if a room is classified as dim, you can use the capability to get specific recommendations for improvements.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP so it is ready to use immediately after connection.

  • 06

    What is the difference between minimum area and window dimensions?

    The system first calculates a 'minimum area' (e.g., 1/6 of floor space). The normalizeAreaToWindowDimensions capability then takes this abstract minimum and determines the most structurally sound width and height that achieves or exceeds that required area.

  • 07

    Can I use these capabilities for a whole building, not just one room?

    Yes. The generateRoomSpecificationReport capability accepts an array of multiple rooms and processes them sequentially. This allows you to generate a full specification report for every space in your floor plan.

  • 08

    What if the required minimum area is too large for standard windows?

    The normalizeAreaToWindowDimensions capability includes checks against physical feasibility. If a calculation results in dimensions that are structurally questionable or too large for typical openings, it will issue a warning flag within the final report.

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