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MCP Integrations Joggai
MCP & AI Agent Integration

Joggai
automation.

16 AI agent actions for Joggai — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Joggai 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
16
actions
100%
governed
<200ms
latency
16
AI agent actions
10
Read operations
6
Write operations
3
High-risk actions (approval gated)
Productivity Joggai 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 Joggai.

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 Avatar
joggai:get_avatar
Fetch a single AI avatar by ID with voice and appearance details.
Read Low risk
Get Project
joggai:get_project
Fetch a single project by ID with all associated videos and settings.
Read Low risk
Get Template
joggai:get_template
Fetch a single video template by ID with all customization options.
Read Low risk
Get Usage
joggai:get_usage
Get account usage statistics for video generation and API calls.
Read Low risk
Get Video
joggai:get_video
Fetch a single video by ID with generation status and download URLs.
Read Low risk
List Avatars
joggai:list_avatars
List available AI avatars with filtering by appearance and voice characteristics.
Read Low risk
List Projects
joggai:list_projects
List projects with optional filtering and search.
Read Low risk
List Templates
joggai:list_templates
List available video templates with filtering options.
Read Low risk
List Videos
joggai:list_videos
List videos with optional filtering by status, template, or avatar.
Read Low risk
List Voices
joggai:list_voices
List available text-to-speech voices for video generation.
Read Low risk
Cancel Video
joggai:cancel_video
Cancel a video generation that is currently pending or processing.
Write High risk
Create Project
joggai:create_project
Create a new project to organize multiple videos.
Write Medium risk
Create Video
joggai:create_video
Create a new AI-generated video with specified avatar, template, and script.
Write Medium risk
Delete Project
joggai:delete_project
Permanently delete a project and all its associated videos. This action cannot be undone.
Write High risk
Delete Video
joggai:delete_video
Permanently delete a video. This action cannot be undone.
Write High risk
Update Project
joggai:update_project
Update an existing project's details and settings.
Write Medium risk
MCP & Runtime API

Call Joggai
from any AI agent.

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

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

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 Joggai data
Call joggai:get_avatar 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 Joggai
Dry-run validates joggai:cancel_video 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 Joggai action
governed end-to-end.

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

Joggai works best
alongside these.

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

Asana Jira Notion Github Slack
Joggai integration

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

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