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MCP Integrations Trackingtime
MCP & AI Agent Integration

Trackingtime
automation.

21 AI agent actions for Trackingtime — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Trackingtime to log time, track project hours, and generate utilization reports 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
21
actions
100%
governed
<200ms
latency
21
AI agent actions
10
Read operations
11
Write operations
3
High-risk actions (approval gated)
Time Tracking Trackingtime is a Time Tracking integration — use it to automate time tracking, project hours, and team utilization from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Trackingtime.

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 Project
trackingtime:get_project
Fetch a single project by ID with details and settings.
Read Low risk
Get Task
trackingtime:get_task
Fetch a single task by ID with details and project information.
Read Low risk
Get Team
trackingtime:get_team
Fetch a single team by ID with member details and settings.
Read Low risk
Get Time Entry
trackingtime:get_time_entry
Fetch a single time entry by ID with project and task details.
Read Low risk
Get User
trackingtime:get_user
Fetch a user by ID or get the current authenticated user's details.
Read Low risk
List Projects
trackingtime:list_projects
List projects with optional filtering by status and team.
Read Low risk
List Tasks
trackingtime:list_tasks
List tasks with optional filtering by project, status, assignee, and priority.
Read Low risk
List Teams
trackingtime:list_teams
List teams with optional search filtering.
Read Low risk
List Time Entries
trackingtime:list_time_entries
List time entries with optional filtering by project, task, user, date range, and billing status.
Read Low risk
List Users
trackingtime:list_users
List users with optional filtering by team, status, and search terms.
Read Low risk
Create Project
trackingtime:create_project
Create a new project with billing and team settings.
Write Medium risk
Create Task
trackingtime:create_task
Create a new task within a project with assignment and scheduling.
Write Medium risk
Create Time Entry
trackingtime:create_time_entry
Create a new time entry for a project and optionally a task.
Write Medium risk
Delete Project
trackingtime:delete_project
Permanently delete a project and all its time entries.
Write High risk
Delete Task
trackingtime:delete_task
Permanently delete a task and all its time entries.
Write High risk
Delete Time Entry
trackingtime:delete_time_entry
Permanently delete a time entry.
Write High risk
Start Timer
trackingtime:start_timer
Start a new timer for a project and optionally a task.
Write Medium risk
Stop Timer
trackingtime:stop_timer
Stop a running timer by ID or stop the currently running timer.
Write Medium risk
Update Project
trackingtime:update_project
Update an existing project's details and settings.
Write Medium risk
Update Task
trackingtime:update_task
Update an existing task's details, status, and assignment.
Write Medium risk
Update Time Entry
trackingtime:update_time_entry
Update an existing time entry's details, duration, and billing information.
Write Medium risk
MCP & Runtime API

Call Trackingtime
from any AI agent.

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

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

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

Every Trackingtime action
governed end-to-end.

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

Trackingtime works best
alongside these.

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

Slack Google Sheets Asana Jira Hubspot
Trackingtime integration

Start free.
No credit card required.

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

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