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MCP Integrations Lighthouse
MCP & AI Agent Integration

Lighthouse
automation.

14 AI agent actions for Lighthouse — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Lighthouse 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.

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
14
actions
100%
governed
<200ms
latency
14
AI agent actions
7
Read operations
7
Write operations
2
High-risk actions (approval gated)
Customer Support Lighthouse 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 Lighthouse.

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 Milestone
lighthouse:get_milestone
Fetch a single milestone by ID with its details and progress information.
Read Low risk
Get Ticket
lighthouse:get_ticket
Fetch a single ticket by ID with all details including messages and assignee.
Read Low risk
Get User
lighthouse:get_user
Fetch a single user by ID with their profile information and permissions.
Read Low risk
List Milestones
lighthouse:list_milestones
List all milestones in the Lighthouse project with their progress information.
Read Low risk
List Tickets
lighthouse:list_tickets
List tickets with optional filtering by state, assignee, milestone, or tag.
Read Low risk
List Users
lighthouse:list_users
List all users in the Lighthouse project with their basic information.
Read Low risk
Search Tickets
lighthouse:search_tickets
Search tickets using Lighthouse's query syntax for advanced filtering.
Read Low risk
Add Ticket Message
lighthouse:add_ticket_message
Add a message/comment to an existing ticket, optionally changing its state.
Write Medium risk
Create Milestone
lighthouse:create_milestone
Create a new milestone in Lighthouse with title, goals, and optional due date.
Write Medium risk
Create Ticket
lighthouse:create_ticket
Create a new ticket in Lighthouse with title, body, and optional metadata.
Write Medium risk
Delete Milestone
lighthouse:delete_milestone
Permanently delete a milestone from Lighthouse. This action cannot be undone.
Write High risk
Delete Ticket
lighthouse:delete_ticket
Permanently delete a ticket from Lighthouse. This action cannot be undone.
Write High risk
Update Milestone
lighthouse:update_milestone
Update an existing milestone's properties like title, goals, due date, or completion status.
Write Medium risk
Update Ticket
lighthouse:update_ticket
Update an existing ticket's properties like title, state, assignee, or priority.
Write Medium risk
MCP & Runtime API

Call Lighthouse
from any AI agent.

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

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

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 Lighthouse data
Call lighthouse:get_milestone 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 Lighthouse
Dry-run validates lighthouse:add_ticket_message 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 Lighthouse action
governed end-to-end.

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

Lighthouse works best
alongside these.

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

Zendesk Intercom Reamaze Slack Hubspot
Lighthouse integration

Start free.
No credit card required.

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

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