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Ivive MCP server

Which MCP servers are Ivive's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-28

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Whose server it is
  • Registry nameapp.ivive/iviveverified in the MCP registry

The registry name sits under ivive.app. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-28
  • Stateanswerschecked 2026-10-28
  • Tools6
  • Server calls itselfivive
  • Server version1.0.2
  • Protocol version2025-06-18

On 2026-10-28 the server answered initialize and tools/list without a sign-in. First answer in 522 ms.

Should an agent connect itConnect it
  • Its tools do every use case we checked: convert microsome clearance into predicted human plasma clearance; set clearance targets for the next compound to make.

Once connected

  • For "convert microsome clearance into predicted human plasma clearance", the likely first call is calc_clhep.
  • For "set clearance targets for the next compound to make", the likely first call is target_clint.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 8, the first on 2026-10-28
  • INITE MCP score100 of 100answers 100 · does the job 100 · definitions 100 · context 100 · connects 100
  • What an agent can do with it2 of 2 use cases
  • Answered100% of days8 of 8 daily checks
  • Median first answer532 ms
  • Space in an agent's context≈ 2,507 tokensthe definitions of all its tools (6), which an agent carries on every turn
  • Tool definitionsA · 100 of 100
  • Typed results0 of 6 toolsdeclared outputSchema: results come typed, read once
  • Every tool passes all six checks.

What an agent can do with it

  • can do · convert microsome clearance into predicted human plasma clearance
  • not sure · rank compounds by predicted human clearance each design cycle
  • can do · set clearance targets for the next compound to make

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers6 tools · read 2026-10-28
  • 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…

  • 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…

  • 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.

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

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

Add it

Claude Code, in a terminal

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

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://api.ivive.app/mcp/ as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.