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MCP Integrations Streamtime
MCP & AI Agent Integration

Streamtime
automation.

19 AI agent actions for Streamtime — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Streamtime to create tasks, update project status, and coordinate work across teams 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
19
actions
100%
governed
<200ms
latency
19
AI agent actions
11
Read operations
8
Write operations
0
High-risk actions (approval gated)
Productivity Streamtime is a Productivity integration — use it to automate tasks, projects, and team workflows from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Streamtime.

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 Active Timer
streamtime:get_active_timer
Get the currently running timer for a specific user, if any.
Read Low risk
Get Client
streamtime:get_client
Fetch a single client by ID with contact details and project count.
Read Low risk
Get Job
streamtime:get_job
Fetch a single job by ID with project details, status, and time tracking info.
Read Low risk
Get Project
streamtime:get_project
Fetch a single project by ID with details, status, and client information.
Read Low risk
Get Timesheet
streamtime:get_timesheet
Fetch a single timesheet entry by ID with job and project details.
Read Low risk
Get User
streamtime:get_user
Fetch a single user by ID with profile details and activity stats.
Read Low risk
List Clients
streamtime:list_clients
List clients with optional filtering by status or search term.
Read Low risk
List Jobs
streamtime:list_jobs
List jobs with optional filtering by project, status, assignee, or date range.
Read Low risk
List Projects
streamtime:list_projects
List projects with optional filtering by status, client, or search term.
Read Low risk
List Timesheets
streamtime:list_timesheets
List timesheet entries with optional filtering by user, job, project, or date range.
Read Low risk
List Users
streamtime:list_users
List users with optional filtering by status, role, or search term.
Read Low risk
Create Client
streamtime:create_client
Create a new client in Streamtime.
Write Medium risk
Create Job
streamtime:create_job
Create a new job in Streamtime.
Write Medium risk
Create Project
streamtime:create_project
Create a new project in Streamtime.
Write Medium risk
Create Timesheet
streamtime:create_timesheet
Create a new timesheet entry in Streamtime.
Write Medium risk
Start Timer
streamtime:start_timer
Start a timer for a specific job and user in Streamtime.
Write Medium risk
Stop Timer
streamtime:stop_timer
Stop a running timer and create a timesheet entry in Streamtime.
Write Medium risk
Update Job
streamtime:update_job
Update an existing job in Streamtime.
Write Medium risk
Update Project
streamtime:update_project
Update an existing project in Streamtime.
Write Medium risk
MCP & Runtime API

Call Streamtime
from any AI agent.

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

streamtime:get_active_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": "streamtime:get_active_timer",
    "args": {},
    "execution_id": "agent-001"
  }'
streamtime:create_client 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": "streamtime:create_client",
    "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 Streamtime.

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 Streamtime data
Call streamtime:get_active_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 Streamtime
Dry-run validates streamtime:create_client before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Task or project event
Update status automatically
Notify assignees
Sync across tools
How it works

Every Streamtime action
governed end-to-end.

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

Streamtime works best
alongside these.

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

Asana Jira Notion Github Slack
Streamtime integration

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No credit card required.

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

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