← InductiveCONTENT HISTORY
WHAT CHANGED
added
Update to Inductive
Snapshot Oct 27, 2026 · 00:12 UTC · version 2.0.0
Package or technical metadata updated
Package or technical metadata updated
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Is v2 template
Before
Oct 24, 2026 · 12:55 UTC
Not present
After
Oct 27, 2026 · 00:12 UTC
false
Compare saved observations
Download comparison JSONFull technical diff · 1 changed fields
added /is_v2_template
BEFORE
Field was absent
AFTER
false
Full snapshot data
{
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"connector_id": "asdk_app_6a5f875215108191ae5d449352363219",
"created_at": "2026-07-21T14:50:58.214945Z",
"discoverability": "LISTED",
"id": "plugin_asdk_app_6a5f875215108191ae5d449352363219",
"is_template": false,
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"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’s models for the physicochemical properties LogD (lipophilicity) and pKa (acid/base ionization), key drivers of solubility and permeability.",
"display_name": "Inductive",
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"interface": {
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"category": "Scientific Research",
"composer_icon_dark_url": "https://files.openai.com/content?id=file_000000008cfc82308dae29869298d961",
"composer_icon_url": "https://files.openai.com/content?id=file_00000000385481f6b64cea2830f09238",
"default_prompt": "Compare LogD across the 10-compound NSAID/analgesic panel, showing exact SMILES and ranking the returned values",
"default_prompts": [
"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"
],
"developer_name": "Inductive Bio",
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"long_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’s models for the physicochemical properties LogD (lipophilicity) and pKa (acid/base ionization), key drivers of solubility and permeability.",
"plugin_category_id": "scientific research",
"privacy_policy_url": "https://www.inductive.bio/mcp-privacy-policy",
"screenshot_urls": [],
"short_description": "State-of-the-art ADMET models",
"terms_of_service_url": "https://www.inductive.bio/mcp-terms-of-service",
"website_url": "https://www.inductive.bio/mcp-connector"
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"description": "Compare molecular-property predictions across analogs with Inductive Bio using matched models, explicit deltas, and cautious interpretation. Use for analog ranking, property trends, or reference-relative comparisons.",
"interface": {
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"default_prompt": "Compare these analogs with matched live models, show values and reference-relative deltas, and preserve failed predictions.",
"display_name": "Compare Molecular Analogs",
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"short_description": "Compare matched predictions, deltas, and property trends"
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{
"description": "Route Inductive Bio molecular-property requests to model discovery, prediction, or analog comparison. Use when a user asks generally about the Inductive Bio connector or wants help choosing the appropriate workflow.",
"interface": {
"brand_color": null,
"default_prompt": "List the available Inductive Bio models with model IDs, property or assay names, and units before planning my analysis.",
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{
"description": "Predict currently available molecular properties for one or more exact SMILES with Inductive Bio. Use when the user requests property values for compounds rather than a ranked analog comparison.",
"interface": {
"brand_color": null,
"default_prompt": "Discover the available models, predict the requested properties for these exact SMILES, and separate returned values from interpretation.",
"display_name": "Predict Molecular Properties",
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"iconography": "chart",
"short_description": "Predict available properties for exact SMILES"
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"version": "2.0.0"
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"scope": "GLOBAL",
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"status": "ENABLED"
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