MCP & AI Agent Integration

Gagelist
automation.

3 AI agent actions for Gagelist — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Gagelist 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
3
actions
100%
governed
<200ms
latency
3
AI agent actions
1
Read operations
2
Write operations
0
High-risk actions (approval gated)
Business Tools Gagelist 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 Gagelist.

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.

Find Gage by ID
gagelist:find_gage_by_id
Finds and retrieves a gage based on its ID in GageList
Read Low risk
Create Gage
gagelist:create_gage
Creates a new gage on GageList
Write Medium risk
Update Gage
gagelist:update_gage
Updates a specific gage using its ID on GageList
Write Medium risk
MCP & Runtime API

Call Gagelist
from any AI agent.

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

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

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 Gagelist data
Call gagelist:find_gage_by_id 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 Gagelist
Dry-run validates gagelist:create_gage before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Event in Gagelist
Process with AI agent
Take governed action
Log to audit trail
How it works

Every Gagelist action
governed end-to-end.

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

Gagelist works best
alongside these.

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

Gagelist integration

Start free.
No credit card required.

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

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