3,400+ MCP servers ready to use
Vinkius
O

Bring Time Tracking
to OpenAI Agents SDK

Learn how to connect TrackingTime to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Add Time EntryCreate ProjectCreate TaskGet User ProfileList CustomersList ProjectsList TasksList Time EntriesList Workspace UsersStart TimerStop TimerUpdate Task

What is the TrackingTime MCP Server?

Connect your TrackingTime account to any AI agent and simplify how you manage your productivity, project tasks, and billable hours through natural conversation.

What you can do

  • Live Tracking — Start and stop timers for specific tasks instantly via AI commands to track your real-time activity.
  • Task Management — Create, list, and update tasks, and organize them into specific projects for better workflow.
  • Time Logging — Retrieve detailed logs of your time entries for any date range and manually add missing blocks of time.
  • Project & Client Oversight — List all projects and customers to manage your business directory and assignments.
  • Team Coordination — Query workspace users to understand team structure and member availability.
  • Account Visibility — Fetch your user profile and verify account configurations directly from the agent.

How it works

1. Subscribe to this server
2. Enter your TrackingTime Email and Password
3. Start managing your time and productivity from Claude, Cursor, or any MCP client

Who is this for?

  • Freelancers & Consultants — quickly start timers and log billable hours via simple AI commands.
  • Project Managers — monitor task progress and project logs across the team directly from the workspace.
  • Productivity Junkies — keep an organized record of daily activities and time spent on specific projects via the AI assistant.

Built-in capabilities (12)

add_time_entry

Manual time entry

create_project

Add new project

create_task

Add new task

get_user_profile

Get current user

list_customers

List project clients

list_projects

List your projects

list_tasks

List your tasks

list_time_entries

Get time logs

list_workspace_users

List team members

start_timer

Start tracking time

stop_timer

Stop tracking time

update_task

Modify task

Why OpenAI Agents SDK?

The OpenAI Agents SDK auto-discovers all 12 tools from TrackingTime through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries TrackingTime, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

  • Native MCP integration via MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety

  • Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

  • Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

  • First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

O
See it in action

TrackingTime in OpenAI Agents SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

TrackingTime and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect TrackingTime to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for TrackingTime in OpenAI Agents SDK

The TrackingTime MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

TrackingTime
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures TrackingTime for OpenAI Agents SDK

Every tool call from OpenAI Agents SDK to the TrackingTime MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I start a timer for a specific task using the AI?

Yes! Use the start_timer tool and provide the Task ID. Your agent will instantly begin tracking time for that specific activity in your workspace.

02

How do I see my time logs for the last 7 days?

Run the list_time_entries query. Provide the fromDate and toDate in YYYY-MM-DD format to retrieve the full history of tracked blocks for that period.

03

Is it possible to add a time entry manually via AI?

Absolutely. Use the add_time_entry action. Provide the start time, end time, and the associated Task ID to register a completed block of time.

04

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

05

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

06

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

07

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

08

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.