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MCP Integrations Timebuzzer
MCP & AI Agent Integration

Timebuzzer
automation.

20 AI agent actions for Timebuzzer — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Timebuzzer to log time, track project hours, and generate utilization reports automatically. Full governance, audit trail, and dry-run safety on every execution.

Connect Timebuzzer free Browse all integrations →
No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
20
actions
100%
governed
<200ms
latency
20
AI agent actions
9
Read operations
11
Write operations
3
High-risk actions (approval gated)
Time Tracking Timebuzzer 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 Timebuzzer.

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 Current Timer
timebuzzer:get_current_timer
Get the currently running timer for the authenticated user, if any.
Read Low risk
Get Project
timebuzzer:get_project
Fetch a single project by ID with details and settings.
Read Low risk
Get Task
timebuzzer:get_task
Fetch a single task by ID with details and time tracking info.
Read Low risk
Get Time Entry
timebuzzer:get_time_entry
Fetch a single time entry by ID with all tracking details.
Read Low risk
Get User
timebuzzer:get_user
Fetch a single user by ID or get current user info.
Read Low risk
List Projects
timebuzzer:list_projects
List all projects with optional filtering and pagination.
Read Low risk
List Tasks
timebuzzer:list_tasks
List all tasks with optional filtering and pagination.
Read Low risk
List Time Entries
timebuzzer:list_time_entries
List time entries with optional filtering and pagination.
Read Low risk
List Users
timebuzzer:list_users
List all users in the organization with optional filtering.
Read Low risk
Create Project
timebuzzer:create_project
Create a new project for time tracking.
Write Medium risk
Create Task
timebuzzer:create_task
Create a new task within a project.
Write Medium risk
Create Time Entry
timebuzzer:create_time_entry
Create a manual time entry with specific start and end times.
Write Medium risk
Delete Project
timebuzzer:delete_project
Permanently delete a project and all its time entries. This action cannot be undone!
Write High risk
Delete Task
timebuzzer:delete_task
Permanently delete a task and all its time entries. This action cannot be undone!
Write High risk
Delete Time Entry
timebuzzer:delete_time_entry
Permanently delete a time entry. This action cannot be undone!
Write High risk
Start Timer
timebuzzer:start_timer
Start a new timer for time tracking. Only one timer can run at a time per user.
Write Medium risk
Stop Timer
timebuzzer:stop_timer
Stop the currently running timer or a specific time entry.
Write Medium risk
Update Project
timebuzzer:update_project
Update an existing project's details.
Write Medium risk
Update Task
timebuzzer:update_task
Update an existing task's details.
Write Medium risk
Update Time Entry
timebuzzer:update_time_entry
Update an existing time entry's details.
Write Medium risk
MCP & Runtime API

Call Timebuzzer
from any AI agent.

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

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

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

Every Timebuzzer action
governed end-to-end.

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

Timebuzzer works best
alongside these.

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

Slack Google Sheets Asana Jira Hubspot
Timebuzzer integration

Start free.
No credit card required.

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

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