MCP & AI Agent Integration

Modelry
automation.

15 AI agent actions for Modelry — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Modelry to automate business processes and connect tools in your stack. Full governance, audit trail, and dry-run safety on every execution.

No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
15
actions
100%
governed
<200ms
latency
15
AI agent actions
6
Read operations
9
Write operations
2
High-risk actions (approval gated)
Business Tools Modelry is a Business Tools integration — use it to automate business operations and workflow automation from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Modelry.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Get Deployment
modelry:get_deployment
Fetch a single deployment by ID with status and configuration details.
Read Low risk
Get Model
modelry:get_model
Fetch a single model by ID with metadata and configuration details.
Read Low risk
Get Prediction
modelry:get_prediction
Retrieve details of a specific prediction by ID.
Read Low risk
List Deployments
modelry:list_deployments
List deployments with optional filtering and search capabilities.
Read Low risk
List Models
modelry:list_models
List models with optional filtering and search capabilities.
Read Low risk
List Predictions
modelry:list_predictions
List predictions with optional filtering by deployment, model, status, and date range.
Read Low risk
Create Deployment
modelry:create_deployment
Create a new deployment for a trained model.
Write Medium risk
Create Model
modelry:create_model
Create a new model with specified configuration and metadata.
Write Medium risk
Delete Deployment
modelry:delete_deployment
Stop and permanently delete a deployment.
Write High risk
Delete Model
modelry:delete_model
Permanently delete a model and all its associated data.
Write High risk
Make Prediction
modelry:make_prediction
Make a prediction using a deployed model.
Write Medium risk
Start Deployment
modelry:start_deployment
Start a stopped deployment to begin serving predictions.
Write Medium risk
Stop Deployment
modelry:stop_deployment
Stop a running deployment to cease serving predictions and save costs.
Write Medium risk
Update Deployment
modelry:update_deployment
Update an existing deployment's configuration.
Write Medium risk
Update Model
modelry:update_model
Update an existing model's metadata and configuration.
Write Medium risk
MCP & Runtime API

Call Modelry
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Modelry actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

modelry:get_deployment READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "modelry:get_deployment",
    "args": {},
    "execution_id": "agent-001"
  }'
modelry:create_deployment WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "modelry:create_deployment",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Modelry.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Modelry data
Call modelry:get_deployment via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Modelry
Dry-run validates modelry:create_deployment before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Event in Modelry
Process with AI agent
Take governed action
Log to audit trail
How it works

Every Modelry action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Modelry — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Modelry action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Modelry action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Modelry works best
alongside these.

Build multi-step workflows that connect Modelry to the rest of your stack. All governed. All audited.

Modelry integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Modelry in minutes, dry-run every action before it touches production, full audit trail on everything.

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