ClockShark MCP Server for VS Code CopilotGive VS Code Copilot instant access to 10 tools to Create Job, Create Shift, Create Task, and more
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
Ask AI about this App Connector for VS Code Copilot
The ClockShark app connector for VS Code Copilot is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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The modern way to manage MCP Servers — no config files, no terminal commands. Install ClockShark and 3,400+ MCP Servers from a single visual interface.




{
"mcpServers": {
"clockshark": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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
About ClockShark MCP Server
Connect your ClockShark account to any AI agent and take full control of your field service workforce and time-tracking workflows through natural conversation.
GitHub Copilot Agent mode brings ClockShark data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Timesheet Orchestration — List and manage individual time tracking entries programmatically, retrieving detailed historical clock-in/out records and location metadata
- Schedule & Shift Intelligence — Create and monitor work shifts and job assignments in real-time to maintain a perfectly coordinated field operation
- Employee Lifecycle Management — Access complete employee profiles and retrieve directories of active or inactive staff to oversee team distribution
- Job & Task Architecture — Programmatically manage your directory of service jobs and project codes to ensure your crew always has the high-fidelity info they need
- Productivity Monitoring — Monitor labor costs and project progress by creating new service tasks and tracking work types directly through your agent
The ClockShark MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 ClockShark tools available for VS Code Copilot
When VS Code Copilot connects to ClockShark through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, gps-tracking, timesheets, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new job/project
Schedule a new shift
Add a new work task
Manually add a time entry
Get details for a staff member
List all employees
List all jobs/projects
List employee shifts
List all service tasks
List time tracking entries
Connect ClockShark to VS Code Copilot via MCP
Follow these steps to wire ClockShark into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Create MCP config
.vscode/mcp.json file in your project rootAdd the server config
Enable Agent mode
Start using ClockShark
Why Use VS Code Copilot with the ClockShark MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with ClockShark through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
ClockShark + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the ClockShark MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Example Prompts for ClockShark in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with ClockShark immediately.
"List all active employees in my ClockShark account."
"Schedule a shift for 'John' (ID: 123) for tomorrow from 8 AM to 5 PM."
"Show the timesheets for 'last_week'."
Troubleshooting ClockShark MCP Server with VS Code Copilot
Common issues when connecting ClockShark to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
ClockShark + VS Code Copilot FAQ
Common questions about integrating ClockShark MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.