# Calibration Curve Generator AI Agent Connect

> Generates mathematical calibration models and statistical analysis for analytical instruments.

## Overview
- **Category:** statistics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_6yYJASHISuPWWfm89OVAesihe3iIksAUeeT0ly6l/ai-agent-connect
- **Tags:** regression, analytical-chemistry, calibration, statistics, instrumentation

## Description

This MCP server provides analytical chemistry tools to establish mathematical relationships between standard concentrations and instrument responses. Use `generate_calibration_model` to create regression models with optional weighting or outlier removal. You can also use `calculate_unknown_concentration` to determine sample concentrations, `validate_calibration_quality` to check regulatory compliance, and `get_detection_limit_statistics` to retrieve sensitivity metrics like LOD and LOQ.

## Tools

### calculate_unknown_concentration
Converts a specific instrument signal into its corresponding concentration using an existing model

### generate_calibration_model
Creates the primary mathematical model from a set of concentration and response data

### get_detection_limit_statistics
Provides detailed statistical context regarding the sensitivity and limits of the instrument

### validate_calibration_quality
Evaluates if a calibration curve is fit for use based on regulatory or laboratory standards

## Prompt Examples

**Prompt:** 
```
Generate a calibration model for concentrations [1, 2, 5, 10] and responses [10.2, 20.5, 51.0, 99.8].
```

**Response:** 
```
The calibration model has been generated with a slope of 10.0 and an intercept of 0.1, featuring an R-squared of 0.999.
```

**Prompt:** 
```
Calculate the concentration for a response of 45.5 using a model with slope 10 and intercept 0.
```

**Response:** 
```
The calculated concentration for the measured response is 4.55.
```

**Prompt:** 
```
What are the detection limits for a model with LOD 0.01 and LOQ 0.05?
```

**Response:** 
```
The Limit of Detection (LOD) is 0.01 and the Limit of Quantitation (LOQ) is 0.05.
```

## Frequently Asked Questions

**How do I create a new calibration model?**
You can use the `generate_calibration_model` tool by providing arrays of known concentrations and their corresponding instrument responses.

**Can I account for heteroscedasticity in my data?**
Yes, the `generate_calibration_model` tool supports weighting schemes such as 1/x and 1/x2 to handle variance changes at different concentrations.

**How can I check if my calibration meets lab standards?**
Use the `validate_calibration_quality` tool to evaluate your model against specific R-squared and detection limit requirements.
