MCP server

ivive.app Official

app.ivive/ivive

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Human hepatic clearance from in-vitro CLint, with the error band measured on known drugs.

Working at last checkVerified publisher: ivive.appAbout 2,725 tokens per request once connected6 tools

https://api.ivive.app/mcp/

At a glance

Type: MCP server
Publisher: ivive.app (verified by the MCP Registry)
Status: Working at last check
Tools: 6
Token cost: About 2,725 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ivive https://api.ivive.app/mcp/

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ivive]
url = "https://api.ivive.app/mcp/"

Gemini CLI

{"mcpServers":{"ivive":{"httpUrl":"https://api.ivive.app/mcp/"}}}

Cursor

{"mcpServers":{"ivive":{"url":"https://api.ivive.app/mcp/"}}}

VS Code

{"servers":{"ivive":{"type":"http","url":"https://api.ivive.app/mcp/"}}}

Antigravity

agy mcp add ivive https://api.ivive.app/mcp/

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ivive","server_url":"https://api.ivive.app/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ivive","server_url":"https://api.ivive.app/mcp/"}

calc_clhep ~678 tokens
Hepatic and plasma clearance from in-vitro CLint, fu,mic and fu,p (IVIVE), with the observed-CL band and applicability warnings. If fu,p or fu,mic came from predict_inputs, tell the user the result rests on predicted inputs.
input_sensitivity ~834 tokens
How far plasma CL moves as each input is varied over a range, e.g. a predicted fu,p over its 50% range.
predict_inputs ~201 tokens
Predict fu,p and fu,inc from a SMILES, with structure-only human CL and Vss as second opinions. Predictions, not measurements; check the applicability verdict.
scale_to_human ~342 tokens
Predict human plasma CL from observed animal in-vivo CL (rat, dog, monkey), every applicable method with its measured error. Observed animal CL only, never predicted.
similar_drugs ~203 tokens
Nearest reference drugs to a SMILES (Tanimoto, Morgan radius 2), each with measured human plasma CL and the CL IVIVE predicted from its measured inputs. Use it to judge how far to trust calc_clhep for this chemotype: if IVIVE missed on the neighbours, expect it to miss here. Returns neighbours only,
target_clint ~467 tokens
The in-vitro CLint an assay must read for a compound to reach a target plasma clearance (mL/min/kg): calc_clhep run backwards, e.g. to set a CLint cut-off for a screening cascade. Needs fu,mic and fu,p; refuses a target at or above the liver blood flow ceiling and returns that ceiling. Uncorrected I

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