Bring Time Tracking
to Mastra AI
Learn how to connect DeskTime to Mastra AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the DeskTime MCP Server?
Connect your DeskTime account to any AI agent and take full control of your workforce management and productivity tracking workflows through natural conversation.
What you can do
- Project & Task Orchestration — List and manage time-tracking projects and individual tasks programmatically to maintain a high-fidelity record of work distribution
- Team Visibility — Monitor real-time staff activity, including who is currently online and tracking time, to coordinate team availability and throughput
- Productivity Intelligence — Access comprehensive productivity reports and performance metrics for individual employees or the entire company directly through your agent
- Workflow Automation — Programmatically create new projects, assign tasks, and mark work as completed to streamline your project management cycle
- Administrative Oversight — Retrieve detailed company metadata and employee directories to maintain a perfectly coordinated workforce ecosystem
How it works
1. Subscribe to this server
2. Retrieve your API Key from your DeskTime settings (Settings > Integrations)
3. Start managing your team's productivity from Claude, Cursor, or any MCP client
No more manual logging or digging through productivity charts in the dashboard. Your AI acts as your dedicated workforce operations and time-tracking coordinator.
Who is this for?
- Project Managers — instantly retrieve task completion reports and update project statuses using natural language commands
- Team Leads — monitor real-time availability and productivity scores without leaving your communication tools
- HR & Ops Leads — automate employee data retrieval and monitor company-wide time utilization through simple AI queries
Built-in capabilities (12)
Add task to project
Add new project
Get company details
Check employee stats
Check company performance
Get project info
List company employees
Check who is working
List tasks in project
List DeskTime projects
Complete a task
Delete a project
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and DeskTime tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DeskTime without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every DeskTime tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
DeskTime in Mastra AI
DeskTime and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect DeskTime to Mastra AI 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DeskTime in Mastra AI
The DeskTime 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 Mastra AI 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.

* 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
How Vinkius secures
DeskTime for Mastra AI
Every tool call from Mastra AI to the DeskTime MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my DeskTime API Key?
Log in to your account, navigate to Settings > Integrations, and you will find your API Key at the bottom of the page.
Can I see who is currently online?
Yes! Use the list_online_staff tool to retrieve a real-time list of employees who are actively tracking their time.
Does it support detailed performance metrics?
The get_employee_performance tool provides granular productivity scores and time breakdown for specific dates.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
