Use Precipitation Prediction Model with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict chemical precipitation risks and thresholds based on ion concentrations and Ksp values.
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.
Complete set · 4 capabilities
The complete Precipitation Prediction Model capability set.
These are the exact actions your AI can choose when you ask it to work with Precipitation Prediction Model.
01-04
4 capabilities in this set.
Part of 4 available through Precipitation Prediction Model.
- 01
Calculate threshold concentration
Find the minimum concentration a specific target ion must reach to trigger precipitation
- 02
Identify competing precipitates
Identify which precipitate will form first when adding a specific ion
- 03
Analyze precipitation risk
Determine if any solids will precipitate given ion concentrations and Ksp values
- 04
Validate solution stability
Verify if a solution is safe from precipitation within a defined margin of error
Observed, not estimated
912ms average. Fast in production.
Precipitation Prediction Model is checked daily against the live service.
- Fastest day
- 833ms
- Slowest day
- 912ms
- 14-day trend
- Slowing+9%
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 Precipitation Prediction Model, so you can see the experience inside your AI.
It does not authenticate your account with Precipitation Prediction Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Precipitation Prediction Model Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_iigm1SxiYc16rG9o824wwjCv4b1WmFt9WO6P2FN7/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 — Precipitation Prediction Model capabilities are ready to use.
{
"mcpServers": {
"precipitation-prediction-model-mcp": {
"url": "https://edge.vinkius.com/vk_preview_iigm1SxiYc16rG9o824wwjCv4b1WmFt9WO6P2FN7/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 Precipitation Prediction Model owners ask.
- 01
How do I know if a precipitate will form?
You can use the analyze_precipitation_risk capability. It calculates the Ion Product (Q) and compares it to the Ksp; if Q is greater than Ksp, the solution is supersaturated and precipitation will occur.
- 02
Can I predict which solid will form first?
Yes, the identify_competing_precipitates capability evaluates all possible precipitates involving a specific ion to determine which one reaches its threshold at the lowest concentration.
- 03
How can I ensure my solution remains stable?
Use validate_solution_stability with a safety margin. This capability checks if the Ion Product remains below the Ksp divided by your specified buffer multiplier.
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