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io.github.CloudCorpRecords/modelrun

NPM · @RENETURCIOS/MODELRUN · 2 COMPONENTS

Replicate models, collections, versions, and predictions: browse and run.

65 Trust /100

Last scanned (1 day ago)

Scores higher than 33% of npm servers

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security81
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known high-severity CVE affects zod 3.25.76, a direct dependency. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 30 of 93 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability74
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 540 tokens (~49/item across 11 items; 11 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 11 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 2 Nov 26 50

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed npm/@reneturcios/modelrun@0.1.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Vulnerabilities 1 finding
ID CVE Severity Vector Fix available
GHSA-mrhx-c7xc-m3w5 CVE-2023-54404 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 93 packages
Packages resolved 93
Stale 30
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 11 exposed · ~540 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
cancel_prediction ~31

Cancel a running prediction by ID.

NameTypeReqDescription
predictionIdstringyesThe identifier of the running prediction to cancel.

No output schema declared.

No examples provided.

create_prediction ~125

Create a prediction: run a model version (version) or an official model (model, as owner/name) with the given input object, and an optional webhook.

NameTypeReqDescription
inputobjectyesThe model's input object, passed through unchanged to the prediction.
modelstring–Optional official model to run as 'owner/name'; exactly one of version or model must be given.
versionstring–Optional model version ID to run; exactly one of version or model must be given.
webhookstring–Optional webhook URL to notify when the prediction completes.

No output schema declared.

No examples provided.

get_account ~20

Fetch the account that owns the configured Replicate API token.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_collection ~35

Fetch one collection by slug, including the models it contains.

NameTypeReqDescription
slugstringyesThe slug identifier of the collection to fetch.

No output schema declared.

No examples provided.

get_model ~57

Fetch one model by owner and name, including its description and latest version summary.

NameTypeReqDescription
namestringyesThe name of the model to fetch.
ownerstringyesThe owner (user or organization) of the model to fetch.

No output schema declared.

No examples provided.

get_model_version ~68

Fetch one version of one model, including its input/output schema.

NameTypeReqDescription
namestringyesThe name of the model.
ownerstringyesThe owner (user or organization) of the model.
versionIdstringyesThe identifier of the specific model version to fetch.

No output schema declared.

No examples provided.

get_prediction ~35

Fetch one prediction by ID, including its status and output.

NameTypeReqDescription
predictionIdstringyesThe identifier of the prediction to fetch.

No output schema declared.

No examples provided.

list_collections ~18

List the curated model collections on Replicate.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_model_versions ~57

List the versions of one model by owner and name.

NameTypeReqDescription
namestringyesThe name of the model whose versions to list.
ownerstringyesThe owner (user or organization) of the model whose versions to list.

No output schema declared.

No examples provided.

list_models ~47

List models on Replicate, one page at a time, with an optional pagination cursor.

NameTypeReqDescription
cursorstring–Optional pagination cursor from a previous response to fetch the next page of models.

No output schema declared.

No examples provided.

list_predictions ~47

List predictions for the account, one page at a time, with an optional pagination cursor.

NameTypeReqDescription
cursorstring–Optional pagination cursor from a previous response to fetch the next page of predictions.

No output schema declared.

No examples provided.

Install

How do I install the io.github.CloudCorpRecords/modelrun MCP server?

io.github.CloudCorpRecords/modelrun runs locally as an npm package, launched with npx -y @reneturcios/modelrun. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @reneturcios/modelrun

# add to Claude Code
claude mcp add cloudcorprecords-modelrun -- npx -y @reneturcios/modelrun
Common questions

What is the io.github.CloudCorpRecords/modelrun MCP server?

io.github.CloudCorpRecords/modelrun is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/modelrun. Replicate models, collections, versions, and predictions: browse and run. This page covers its npm package (@reneturcios/modelrun).

Is the io.github.CloudCorpRecords/modelrun MCP server safe to use?

io.github.CloudCorpRecords/modelrun scores 65 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 4 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.CloudCorpRecords/modelrun MCP server expose?

io.github.CloudCorpRecords/modelrun exposes 11 tools: list_models, get_model, list_collections, get_collection, list_model_versions, and 6 more. Their descriptions and schemas cost roughly 540 tokens of context every time the server is loaded.

Is the io.github.CloudCorpRecords/modelrun MCP server still maintained?

io.github.CloudCorpRecords/modelrun is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.CloudCorpRecords/modelrun MCP server under?

io.github.CloudCorpRecords/modelrun declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.