Server data from the Official MCP Registry
Replicate models, collections, versions, and predictions: browse and run.
About
Replicate models, collections, versions, and predictions: browse and run.
Security Report
modelrun is a focused Replicate API client that requires REPLICATE_API_TOKEN from the environment, sends it only as a Bearer header to the fixed host https://api.replicate.com/v1, and never logs or echoes it. Network access and environment variable reads match its stated purpose. The only observations are low-severity: the webhook URL is not validated and the server.json file referenced in package.json was not provided for review. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
8 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-cloudcorprecords-modelrun": {
"env": {
"REPLICATE_API_TOKEN": "your-replicate-api-token-here"
},
"args": [
"-y",
"@reneturcios/modelrun"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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.
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