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How to Use the WakaTime (Coding Stats) MCP in Google ADK

Process deep developer metrics and history using the Google ADK.

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Google ADK

Connect WakaTime (Coding Stats) MCP to Google ADK

Create your Vinkius account to connect WakaTime (Coding Stats) to Google ADK 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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List Projects and Commits

The tool lets you list all projects detected for your user by calling `list_projects`. This is essential context when analyzing code. For granular details, use `list_commits` to get a commit history that includes the time spent on each specific change.

Capture Raw and External Activity

If you're building enterprise agents, you need raw data. Use `create_heartbeat` to capture a coding activity ping directly. You can also pull in non-IDE time logs by calling `list_external_durations`, which is crucial for full coverage.

Get Comprehensive Time Statistics

Want the total amount of effort? `get_all_time_since_today` retrieves the cumulative coding time since your account started. For focused analysis, you can use `list_durations`, which joins activity into blocks based on keystroke timeout.

Setup guide

Set up WakaTime (Coding Stats) MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with WakaTime (Coding Stats) tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="WakaTime (Coding Stats)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to WakaTime (Coding Stats) tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WakaTime. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about WakaTime (Coding Stats) MCP in Google ADK

The agent treats all metrics—from raw pings to project summaries—as structured inputs for BigQuery. You can execute complex queries against this historical data.
You call `get_all_time_since_today` to get the cumulative measure of your work since you first logged in. It's a core metric for historical reporting.
Yes. By listing all detected projects using `list_projects`, the agent can narrow down focus, allowing you to track effort by code base.
Yes. You use `list_external_durations` to integrate non-coding work—like meetings or planning sessions—into the overall productivity picture.
The MCP Server manages raw coding activity pings, project metadata, and external duration records.

Start using the WakaTime (Coding Stats) MCP today

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