How to Use the GitScrum Time Tracking MCP in Claude

Q: Can GitScrum Time Tracking help me log hours in Claude Desktop?

Yes. You can use logmanualtime for retroactive entries or trigger starttimer while you work on specific tickets.

Track your hours and manage project budgets directly inside Claude Desktop without leaving your chat.

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Connect GitScrum Time Tracking MCP to Claude Desktop

Create your Vinkius account to connect GitScrum Time Tracking to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GitScrum Time Tracking with Claude Desktop

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Real-time timer control for Claude Desktop

Start and stop your work sessions instantly. Use `start_timer` and `stop_timer` to log exactly when you touch a task. Stop guessing your hours at the end of the day. This MCP server handles the active state so your time entries remain accurate while you code.

Instant project budget visibility

Query your current spend and risks without opening a browser. Call `budget_overview` or `projects_at_risk` to get the status of any workspace. See where your time goes with `budget_consumption`. You get the raw numbers you need to decide if you should keep pushing or pivot.

Automated standup and progress reporting

Get a summary of what your team finished yesterday using `completed_yesterday` and `standup_summary`. Keep your workflow moving by checking `stuck_tasks`. It helps you resolve blockers before they impact your delivery schedule.

Setup guide

Set up GitScrum Time Tracking MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The GitScrum Time Tracking MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the GitScrum Time Tracking MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under gitscrum-time-tracking-mcp.

json

{
  "mcpServers": {
    "gitscrum-time-tracking-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about GitScrum Time Tracking MCP in Claude Desktop

Open your configuration file in the Claude app settings. Add the server details under the mcpServers key, save the file, and restart the app to see the tools.

Yes. You can use `log_manual_time` for retroactive entries or trigger `start_timer` while you work on specific tickets.

It does. Once configured, you can list your assigned tickets using `my_today_tasks` and track time against them directly in the chat interface.

They stay on your local machine. The MCP server handles the handshake between your environment and the API using your provided token.

Your time entries and task descriptions are sent only to the GitScrum API. No data is stored or cached by the MCP server process itself.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.