Use elisa-standard-curve with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Automated 4-parameter logistic (4PL) regression for ELISA standard curves and sample quantification.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete elisa-standard-curve capability set.
These are the exact actions your AI can choose when you ask it to work with elisa-standard-curve.
01-04
4 capabilities in this set.
Part of 4 available through elisa-standard-curve.
- 01
Calculate precision metrics
Evaluates assay reliability through replicate analysis
- 02
Get curve parameters
Calculates the mathematical model of the standard curve using 4PL regression
- 03
Interpolate unknowns
Calculates concentrations for unknown samples based on a fitted 4PL curve
- 04
Validate assay range
Checks if unknown samples are within the valid measurable range of the standard curve
Observed, not estimated
828ms average. Fast in production.
elisa-standard-curve is checked daily against the live service.
- Fastest day
- 769ms
- Slowest day
- 1001ms
- 14-day trend
- Slowing+18%
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 elisa-standard-curve, so you can see the experience inside your AI.
It does not authenticate your account with elisa-standard-curve. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
elisa-standard-curve Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_4RcAR6Gs9Ve0dI4G03MbCBGyCih3A10FvYh7tLWU/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 — elisa-standard-curve capabilities are ready to use.
{
"mcpServers": {
"elisa-standard-curve-analysis-mcp": {
"url": "https://edge.vinkius.com/vk_preview_4RcAR6Gs9Ve0dI4G03MbCBGyCih3A10FvYh7tLWU/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 elisa-standard-curve owners ask.
- 01
What mathematical model is used for the curve fitting?
The server uses a 4-parameter logistic (4PL) regression model to account for the sigmoidal relationship between concentration and optical density.
- 02
How can I check if my sample OD is within the valid range?
You can use the validate_assay_range capability to compare your unknown sample ODs against the range established by your standard ODs.
- 03
Can I calculate the precision of my assay replicates?
Yes, the calculate_precision_metrics capability allows you to provide groups of replicate OD values to calculate the mean and the coefficient of variation (CV%).
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