How to Use the WakaTime (Coding Stats) MCP in Mastra AI

Q: Can Mastra AI handle external timing with WakaTime (Coding Stats)?

Yes. It supports createexternalduration, letting you reliably log time from outside coding apps. This fits perfectly into a complex, multi-step reporting workflow.

Q: What stats does WakaTime (Coding Stats) provide with Mastra AI?

You can use getstats to fetch summarized coding statistics for specific date ranges. This is ideal when creating a report that needs guaranteed data retrieval, even if multiple tools are involved.

Q: If I need project history, does WakaTime (Coding Stats) support it with Mastra AI?

The listcommits tool lets you list commits and the time spent on them. If the initial call fails, Mastra AI's built-in exponential backoff retries the request until successful.

Build reliable, multi-step workflows that report WakaTime (Coding Stats) using Mastra AI.

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Connect WakaTime (Coding Stats) MCP to Mastra AI

Create your Vinkius account to connect WakaTime (Coding Stats) to Mastra AI 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 Mastra AI

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Perplexity

Retriable Goal Checks

If you're checking a goal, use `get_goal` to fetch the specific user-defined target. If that fails, your workflow can retry with different parameters. Mastra AI handles these complex failure scenarios automatically. You build a reliable step that keeps trying until it gets solid coding data.

Cross-App Time Logging

The `create_external_duration` tool lets you log activity from outside the IDE, like Google Calendar entries. This is great for mapping overall work time. Mastra AI’s workflow engine makes sure this data point gets logged and passed to the next step, regardless of initial failures.

Retrieving Time Blocks

Use `list_durations` to get coding activity grouped into blocks based on keystroke timeout. This gives a clean view of focused work sessions. Mastra AI manages this data flow, ensuring that if fetching the durations fails once, it retries until it successfully pulls all time block information.

Setup guide

Set up WakaTime (Coding Stats) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All WakaTime (Coding Stats) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "wakatime-coding-stats-mcp-client",
  servers: {
    "wakatime-coding-stats-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "WakaTime (Coding Stats) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to WakaTime (Coding Stats) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent WakaTime (Coding Stats) transactions"
);
console.log(result.text);

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Common questions about WakaTime (Coding Stats) MCP in Mastra AI

Mastra AI integrates by running the WakaTime tools within its workflow engine. You can build conditional logic around fetching stats, retrying on failure, and proceeding only when data is confirmed.

Yes. It supports `create_external_duration`, letting you reliably log time from outside coding apps. This fits perfectly into a complex, multi-step reporting workflow.

You can use `get_stats` to fetch summarized coding statistics for specific date ranges. This is ideal when creating a report that needs guaranteed data retrieval, even if multiple tools are involved.

The `list_commits` tool lets you list commits and the time spent on them. If the initial call fails, Mastra AI's built-in exponential backoff retries the request until successful.

The server touches coding activity metrics and project details. This is handled within the controlled, multi-step execution environment that Mastra AI provides.

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