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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Air Quality Dispersion Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict how industrial pollutants move through the atmosphere.

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 Air Quality Dispersion Model capability set.

These are the exact actions your AI can choose when you ask it to work with Air Quality Dispersion Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Air Quality Dispersion Model.

  1. 01

    Analyze terrain effects

    This capability adjusts dispersion predictions to account for hills or valleys in the area.

  2. 02

    Calculate ground concentration

    Use this to find the specific concentration of a pollutant at a given geographic coordinate.

  3. 03

    Estimate maximum impact

    This capability identifies the exact location and distance where pollutant concentration hits its peak.

  4. 04

    Evaluate downwash risk

    This capability checks if nearby buildings will pull the plume downward and increase ground-level concentrations.

One connector, every AI

Air Quality Dispersion Model 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 Air Quality Dispersion Model 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

749ms average. Fast in production.

Air Quality Dispersion Model is checked daily against the live service.

Daily averagePeak 948ms
Sep 11Today
Fastest day
733ms
Slowest day
948ms
14-day trend
Improving-23%

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 Air Quality Dispersion Model, so you can see the experience inside your AI.

It does not authenticate your account with Air Quality Dispersion Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Air Quality Dispersion Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qgG0PjmsXimiMlM4jKgeXnRwMW4QDv2fehWoC5Iy/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 — Air Quality Dispersion Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "air-quality-dispersion-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qgG0PjmsXimiMlM4jKgeXnRwMW4QDv2fehWoC5Iy/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? link.label

See all the AI clients this connector works with ↑

Who it's for

Built for the work Air Quality Dispersion Model owners hand off.

This MCP is designed for professionals managing industrial emissions and environmental compliance.

  • 01

    Environmental Engineers

    They hand off complex dispersion math to the AI to verify compliance with air quality standards.

  • 02

    EHS Specialists

    They use the capability to assess site-specific risks from industrial stacks and structures.

  • 03

    Regulatory Consultants

    They use the modeling data to prepare impact reports for industrial facilities.

FAQ

Questions Air Quality Dispersion Model owners ask.

  • 01

    What kind of math does this MCP use for dispersion?

    The MCP uses Gaussian plume logic to calculate how pollutants disperse and reach ground-level concentrations.

  • 02

    Can I account for buildings near my emission source?

    Yes, you can use the evaluate_downwash_risk capability to see how nearby structures disrupt the plume.

  • 03

    How do I handle hilly or mountainous terrain?

    You can use the analyze_terrain_effects capability to adjust your predictions based on hills or valleys.

  • 04

    Which AI clients can I use with this MCP?

    You can connect this MCP to any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 05

    Can I find the exact location of highest pollution?

    Yes, the estimate_maximum_impact capability identifies the point of highest concentration and its distance from the source.

  • 06

    How do I calculate the concentration at a specific location?

    You can use the calculate_ground_concentration capability by providing the emission rate, stack height, wind speed, target coordinates, and atmospheric stability class.

  • 07

    Can this model account for nearby buildings?

    Yes, the evaluate_downwash_risk capability assesses how nearby structures disrupt the plume and increase ground-level concentrations.

  • 08

    Does it work for hilly or mountainous areas?

    Yes, you can use analyze_terrain_effects to adjust your dispersion predictions based on elevation changes and complex terrain.

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