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.codex-plugin/plugin.json
2.11 KB · Sep 30, 2026 · 22:50 UTC
{
"apps": "./.app.json",
"author": {
"name": "Inductive Bio"
},
"description": "Inductive's absorption, distribution, metabolism, excretion, and toxicity (ADMET) models predict the chemical and pharmacokinetic properties that determine whether a molecule can become a viable drug. By surfacing these predictions directly in your conversation, scientists can evaluate compounds, triage ideas, and prioritize which molecules to synthesize, without leaving their existing workflow.\n\nThrough this MCP server, users can access Inductive\u2019s models for the physicochemical properties LogD (lipophilicity) and pKa (acid/base ionization), key drivers of solubility and permeability.",
"interface": {
"capabilities": [],
"category": "Scientific Research",
"defaultPrompt": [
"Compare LogD across the 10-compound NSAID/analgesic panel, showing exact SMILES and ranking the returned values",
"Compare acidic and basic pKa across captopril, enalapril, quinapril, cilazapril, ramipril, and lisinopril"
],
"developerName": "Inductive Bio",
"displayName": "Inductive",
"longDescription": "Inductive's absorption, distribution, metabolism, excretion, and toxicity (ADMET) models predict the chemical and pharmacokinetic properties that determine whether a molecule can become a viable drug. By surfacing these predictions directly in your conversation, scientists can evaluate compounds, triage ideas, and prioritize which molecules to synthesize, without leaving their existing workflow.\n\nThrough this MCP server, users can access Inductive\u2019s models for the physicochemical properties LogD (lipophilicity) and pKa (acid/base ionization), key drivers of solubility and permeability.",
"privacyPolicyURL": "https://www.inductive.bio/mcp-privacy-policy",
"shortDescription": "State-of-the-art ADMET models",
"supportURL": "https://www.inductive.bio/mcp-connector",
"termsOfServiceURL": "https://www.inductive.bio/mcp-terms-of-service",
"websiteURL": "https://www.inductive.bio/mcp-connector"
},
"name": "app-6a5f875215108191ae5d449352363219",
"skills": "./skills",
"version": "2.0.0"
}SHA-256: 4047551c25c71f9a8f6217f7f527bf7e9b7918a741d72c354d79a49354cbf110