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MCP Integrations Roboflow
MCP & AI Agent Integration

Roboflow
automation.

11 AI agent actions for Roboflow — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Roboflow to create tasks, update project status, and coordinate work across teams automatically. Full governance, audit trail, and dry-run safety on every execution.

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
11
actions
100%
governed
<200ms
latency
11
AI agent actions
5
Read operations
6
Write operations
1
High-risk actions (approval gated)
Productivity Roboflow is a Productivity integration — use it to automate tasks, projects, and team workflows from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Roboflow.

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 Model Version
roboflow:get_model_version
Get details about a specific model version including training metrics and deployment info.
Read Low risk
Get Project
roboflow:get_project
Fetch details about a specific Roboflow project including versions and model info.
Read Low risk
Get Training Status
roboflow:get_training_status
Check the training status and progress of a model being trained on Roboflow.
Read Low risk
List Model Versions
roboflow:list_model_versions
List all trained model versions for a project.
Read Low risk
List Projects
roboflow:list_projects
List all projects in your Roboflow account or a specific workspace.
Read Low risk
Create Project
roboflow:create_project
Create a new Roboflow project for computer vision model training.
Write Medium risk
Delete Project
roboflow:delete_project
Permanently delete a Roboflow project and all its associated data.
Write High risk
Generate Dataset
roboflow:generate_dataset
Generate a new dataset version with preprocessing and augmentation for model training.
Write Medium risk
Predict Image
roboflow:predict_image
Run object detection or classification inference on an image using a trained Roboflow model.
Write Medium risk
Train Model
roboflow:train_model
Start training a computer vision model on a Roboflow dataset version.
Write Medium risk
Upload Image
roboflow:upload_image
Upload an image to a Roboflow dataset for training or annotation.
Write Medium risk
MCP & Runtime API

Call Roboflow
from any AI agent.

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

roboflow:get_model_version READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "roboflow:get_model_version",
    "args": {},
    "execution_id": "agent-001"
  }'
roboflow:create_project 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": "roboflow:create_project",
    "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 Roboflow.

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 Roboflow data
Call roboflow:get_model_version 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 Roboflow
Dry-run validates roboflow:create_project before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Task or project event
Update status automatically
Notify assignees
Sync across tools
How it works

Every Roboflow action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Roboflow — 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 Roboflow action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Roboflow action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Roboflow works best
alongside these.

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

Asana Jira Notion Github Slack
Roboflow integration

Start free.
No credit card required.

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

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