MCP & AI Agent Integration

Gleap
automation.

1 AI agent actions for Gleap — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Gleap to resolve tickets, route conversations, and escalate edge cases without a human in the loop. 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
1
actions
100%
governed
<200ms
latency
1
AI agent actions
0
Read operations
1
Write operations
0
High-risk actions (approval gated)
Customer Support Gleap is a Customer Support integration — use it to automate ticket management, conversations, and escalations from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Gleap.

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.

Create Track Event
gleap:create_track_event
Creates a new track event in Gleap
Write Medium risk
MCP & Runtime API

Call Gleap
from any AI agent.

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

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

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

Trigger
Workflow needs to write to Gleap
Dry-run validates gleap:create_track_event before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Support ticket created
Classify with AI
Auto-resolve or escalate
Notify team with full context
How it works

Every Gleap action
governed end-to-end.

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

Gleap works best
alongside these.

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

Gleap integration

Start free.
No credit card required.

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

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