
Connect Air Quality Dispersion Model 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. Predict how industrial pollutants move through the atmosphere.
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.
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.

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.
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.
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 · 4 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 4 available through Air Quality Dispersion Model.
- 01
Analyze terrain effects
This capability adjusts dispersion predictions to account for hills or valleys in the area.
- 02
Calculate ground concentration
Use this to find the specific concentration of a pollutant at a given geographic coordinate.
- 03
Estimate maximum impact
This capability identifies the exact location and distance where pollutant concentration hits its peak.
- 04
Evaluate downwash risk
This capability checks if nearby buildings will pull the plume downward and increase ground-level concentrations.
Real work
What teams actually run
Regulatory Compliance
Check if predicted emissions at specific coordinates stay within legal limits.
Facility Planning
Model how new stacks or buildings will change the local air quality profile.
Risk Assessment
Determine the distance of maximum impact to set safety perimeters around a source.
Terrain Modeling
Adjust dispersion models to account for complex local topography like valleys.
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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding 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
884ms average. Fast in production.
Air Quality Dispersion Model is checked daily against the live service.
- Fastest day
- 724ms
- Slowest day
- 1005ms
- 14-day trend
- Stable-4%
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.
https://edge.vinkius.com/vk_preview_qgG0PjmsXimiMlM4jKgeXnRwMW4QDv2fehWoC5Iy/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Air Quality Dispersion Model capabilities are ready to use.
{
"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? Set up Air Quality Dispersion Model in Claude and other AIs
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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Connect Air Quality Dispersion Model to Claude, Cursor, ChatGPT & more
