Modelrun

Name: Modelrun
Author: CloudCorpRecords

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.CloudCorpRecords/modelrun

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 on your computer
Transport: stdio
Category: Other

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "modelrun": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/modelrun",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add modelrun -- npx -y @reneturcios/modelrun mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "modelrun": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/modelrun",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "modelrun": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/modelrun",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Runs on your computer; the tool list appears in your AI app after you install it.

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
… 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
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32398 servers in this category
Published to the registry more recently than 87% of the other 32398 servers in this category
Basic checks equal to or better than 100% of the other 32398 servers in this category

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

Common questions

Is Modelrun safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, AI Deprecations

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

modelrun

modelrun is a small workbench for Replicate. It follows the shape of the service: models live under an owner and a name, each model has versions with their own input schemas, collections gather models worth browsing, and a prediction is one run of a version — or of an official model — with a free-form input object. From that shape modelrun lists and reads models, walks collections and version history, starts predictions, watches them, cancels them, and reports the account the token belongs to. One binary serves a command-line interface and a stdio MCP server.

A Replicate API token is required. Put it in the REPLICATE_API_TOKEN environment variable; it is sent to the API as an Authorization: Bearer header and never appears in output. When the variable is missing, every call fails with an error that names it, before any request is made.

Replicate documents no search endpoint, so modelrun offers none: discovery is list_models and list_collections, narrowed by reading the model you care about with get_model.

Install

npx @reneturcios/modelrun models

Or run the container image:

docker run -i -e REPLICATE_API_TOKEN ghcr.io/cloudcorprecords/modelrun

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

export REPLICATE_API_TOKEN=<redacted>

modelrun models modelrun model meta meta-llama-3-70b-instruct modelrun collections modelrun collection text-to-image modelrun versions stability-ai sdxl modelrun version stability-ai sdxl db21e45d3f7023abc2a46ee38c23973f6dce16bb082a930b0c49861f96d1e5bf modelrun predict --model meta/meta-llama-3-70b-instruct '{"prompt":"Explain tides in one sentence."}' modelrun predict --version db21e45d3f7023abc2a46ee38c23973f6dce16bb082a930b0c49861f96d1e5bf '{"prompt":"a lighthouse at dawn"}' modelrun prediction zt3k9examplepredictionid modelrun predictions modelrun cancel zt3k9examplepredictionid modelrun account

modelrun --version

Each command prints the upstream JSON payload. Exit codes: 0 on success, 1 when a call fails (including a missing REPLICATE_API_TOKEN or an API error), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/modelrun mcp

MCP client configuration:

"mcpServers": { "modelrun": { "command": "npx", "args": ["-y", "@reneturcios/modelrun", "mcp"], "env": { "REPLICATE_API_TOKEN": "r8_..." } } } }

Tools

Tool	Input	What it returns
`list_models`	`cursor` (optional)	One page of models.
`get_model`	`owner`, `name` (required)	The model, with its description and latest version summary.
`list_collections`	(none)	The curated collections.
`get_collection`	`slug` (required)	The collection and the models it contains.
`list_model_versions`	`owner`, `name` (required)	The model's versions.
`get_model_version`	`owner`, `name`, `versionId` (required)	The version, with its input/output schema.
`create_prediction`	`input` (required), exactly one of `version` / `model`, `webhook` (optional)	The created prediction.
`get_prediction`	`predictionId` (required)	The prediction, with status and output.
`list_predictions`	`cursor` (optional)	One page of the account's predictions.
`cancel_prediction`	`predictionId` (required)	The canceled prediction.
`get_account`	(none)	The account that owns the token.

All calls use the Replicate API under https://api.replicate.com/v1. create_prediction passes the input object through unchanged; for community models pass a version ID, and for official models pass model as owner/name — exactly one of the two, which the tool enforces before any request.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network (fake fetch fixtures) npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

Modelrun

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

AI Deprecations

README from the maker

modelrun

Install

CLI

MCP server

Tools

Development

License