MCP For Claude Marketplace
Bioassay Potency Calculator

Bioassay Potency Calculator MCP Connector for Claude

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Calculate relative potency and analyze dose-response parallelism.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized computational tools for bioassay analysis. It allows AI agents to determine the relative potency of a test substance compared to a reference standard using 4PL modeling. Key capabilities include using analyze_parallelism to verify curve shapes, calculate_relative_potency for potency and confidence intervals, calculate_slope_ratio to compare curve steepness, and compare_efficacy to evaluate maximum biological effects.

bioassaypotency4plpharmacologystatistics

4 tools expose this connector's capabilities to your AI agent.

calculate_slope_ratio

Isolate and compare the steepness of the two dose-response curves

calculate_relative_potency

Calculate the relative potency and its associated confidence intervals using a 4PL model

analyze_parallelism

Determine if the Test and Reference dose-response curves are parallel enough to permit potency comparison

compare_efficacy

Determine if the maximum biological effect (efficacy) of the Test substance is significantly different from the Reference

See how to talk to your AI agent using Bioassay Potency Calculator.

Check if these two dose-response datasets are parallel: testData=[{'dose': 0.1, 'response': 10}, {'dose': 1, 'response': 50}, {'dose': 10, 'response': 90}] and referenceData=[{'dose': 0.1, 'response': 12}, {'dose': 1, 'response': 48}, {'dose': 10, 'response': 92}].

The curves are parallel with a slope ratio of 0.98 and a p-value of 0.85, confirming they can be compared.

Calculate the relative potency for these datasets: testData=[{'dose': 0.5, 'response': 20}, {'dose': 5, 'response': 80}] and referenceData=[{'dose': 1, 'response': 20}, {'dose': 10, 'response': 80}].

The relative potency is 2.0, with a confidence interval between 1.85 and 2.15.

Compare the efficacy of the test substance against the reference using these data points: testData=[{'dose': 1, 'response': 100}] and referenceData=[{'dose': 1, 'response': 80}].

The efficacy ratio is 1.25, indicating the test substance has a higher maximum biological effect than the reference.

You should first use `analyze_parallelism` to confirm that the test and reference dose-response curves have similar slopes, which is a requirement for valid potency comparison.

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