How to Use the Wakapi (WakaTime Alternative) MCP in Claude Code

Q: How do I integrate Wakapi (WakaTime Alternative) into a Claude Code CI/CD pipeline?

You run the connection using claude mcp add and then call the server's tools within your workflow script. The headless nature of Claude Code makes this integration seamless for automation.

Q: Is the MCP Server connection stable for Wakapi (WakaTime Alternative) usage in Claude Code?

Yes. Since it supports stdio, http, and sse transports, you can choose the most reliable method for your specific CI/CD environment.

Q: Can I use Wakapi (WakaTime Alternative) to track projects with Claude Code?

Absolutely. The MCP Server allows you to call listprojects and treat the resulting project list as a variable within your shell script logic.

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Create your Vinkius account to connect Wakapi (WakaTime Alternative) 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 Wakapi (WakaTime Alternative) with Claude Code

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Get Coding Statistics for CI/CD Pipelines

For pipeline checks, run `get_stats` to retrieve objective coding statistics. This is ideal for gatekeeping—you can't deploy if the metrics aren't right. The MCP Server delivers this data as clean JSON output, which your script can pipe directly into subsequent commands. No GUI means no missed steps.

Detailed Summaries via Headless Execution

Need a post-build report? The `get_summaries` tool retrieves detailed activity context for auditing purposes. It gives the full story of development effort. Your script can process this summary data, formatting it into a Markdown or plain text artifact that gets committed alongside your build output.

Continuous Heartbeat Reporting with MCP Server

Use `send_heartbeats` to provide real-time updates on system status or development progress. This is crucial for long-running, autonomous tasks. The MCP Server handles this data stream securely and efficiently, allowing your cron job or GitHub Action to report activity without human intervention.

Setup guide

Set up Wakapi (WakaTime Alternative) 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 wakapi-wakatime-alternative-mcp with a green status indicator.
3

Start using tools

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

Terminal

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

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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 Wakapi (WakaTime Alternative) 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": {
    "wakapi-wakatime-alternative-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Wakapi (WakaTime Alternative) MCP in Claude Code

You run the connection using `claude mcp add` and then call the server's tools within your workflow script. The headless nature of Claude Code makes this integration seamless for automation.

The server deals with structured coding activity metadata, specifically timestamps, user identifiers, project names, and raw metrics. This data is designed to be machine-readable for scripting.

Yes. Since it supports `stdio`, `http`, and `sse` transports, you can choose the most reliable method for your specific CI/CD environment.

Absolutely. The MCP Server allows you to call `list_projects` and treat the resulting project list as a variable within your shell script logic.

The server touches coded activity metadata (user IDs, project names). Since you're running it headless and scripting the calls, the exposed data is strictly limited to what your script asks for.

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