How to Use the WakaTime (Coding Stats) MCP in Claude Code

Q: What metrics can I pull using WakaTime (Coding Stats) with Claude Code?

You get structured data like daily totals from listsummaries, or raw project lists via listprojects. This output is machine-readable, making it easy to parse in a script.

Q: Does WakaTime (Coding Stats) help with audit logs using Claude Code?

Yes. You can use the server to list every commit (listcommits) and time spent on those changes, creating an immutable log of effort for compliance or internal audits.

Q: Is WakaTime (Coding Stats) good for monitoring goals with Claude Code?

You can use getgoal to check against a defined coding goal. Your script runs the tool, checks the returned value, and exits successfully only if the metric threshold is met.

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Connect WakaTime (Coding Stats) MCP to Claude Code

Create your Vinkius account to connect WakaTime (Coding Stats) to Claude Code 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 WakaTime (Coding Stats) with Claude Code

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Batch Process Coding Summaries

Running `list_summaries` returns daily totals of your coding activity, which is perfect for scripting into a CI/CD report. You can pipe this output directly into another tool to generate JSON metrics. Another useful command is `get_all_time_since_today`. This gives you one big number representing total logged time, ideal for determining build readiness checks.

Analyze Time by Project List

The `list_projects` tool provides a list of all recognized projects. You can then script calls to `get_stats` against these project names to calculate resource distribution across your codebase. For deep dives, you run `list_commits`, which outputs every commit and the specific time allocated to it—essential for auditing purposes.

Handle External Time Blocks

When running in a headless environment, using `list_external_durations` lets your script account for non-IDE work, like meetings pulled from Google Calendar. This gives a total picture of available time. Similarly, `create_external_duration` allows the script to log activity that happened outside the monitored IDE session.

Setup guide

Set up WakaTime (Coding Stats) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see wakatime-coding-stats-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest WakaTime (Coding Stats) transactions." It will automatically discover and invoke the available WakaTime (Coding Stats) tools.

Terminal

claude mcp add --transport http wakatime-coding-stats-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the WakaTime (Coding Stats) MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "wakatime-coding-stats-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about WakaTime (Coding Stats) MCP in Claude Code

You connect via a single command line invocation, making it perfect for cron jobs or GitHub Actions. The MCP Server pipes the output of coding stats directly into your shell script's standard input.

You get structured data like daily totals from `list_summaries`, or raw project lists via `list_projects`. This output is machine-readable, making it easy to parse in a script.

Yes. You can use the server to list every commit (`list_commits`) and time spent on those changes, creating an immutable log of effort for compliance or internal audits.

You can use `get_goal` to check against a defined coding goal. Your script runs the tool, checks the returned value, and exits successfully only if the metric threshold is met.

The server handles project names, time logs, coding activity metrics, and user-defined goals. All this structured code statistics data can be processed entirely from the terminal.

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