ivive.app

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Runs in the cloud
• Transport: Streamable HTTP
• Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

You need

• Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

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

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

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

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

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

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

• predict_inputs

  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.

• calc_clhep

  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.

• target_clint

  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 ce

• input_sensitivity

  How far plasma CL moves as each input is varied over a range, e.g. a predicted fu,p over its 50% range.

• similar_drugs

  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. Retu

• scale_to_human

  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.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

• ! Caution

  Maker matches the repo

  The registry lists no source repo, so we cannot match the publisher (ivive.app) to the code

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 1379 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 6 tool descriptions and found no hidden instructions to the AI

Compared with others in Clinics & healthi

• More stars than 0% of the other 1062 servers in this category
• Published to the registry more recently than 66% of the other 1062 servers in this category
• Basic checks equal to or better than 44% of the other 1062 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

README from the maker

No README found in the repo