WakaTime (Coding Stats) MCP Server for Google ADKGive Google ADK instant access to 14 tools to Create External Duration, Create Heartbeat, Get All Time Since Today, and more

Name: WakaTime (Coding Stats)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add WakaTime (Coding Stats) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The WakaTime (Coding Stats) MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="wakatime_coding_stats_agent",
    instruction=(
        "You help users interact with WakaTime (Coding Stats) "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

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EU AI ActCompliant

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About WakaTime (Coding Stats) MCP Server

Connect your WakaTime account to any AI agent to analyze your coding habits, track project progress, and monitor productivity goals through natural conversation.

Google ADK natively supports WakaTime (Coding Stats) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Coding Statistics — Get summarized stats for specific ranges (7 days, 30 days, etc.) or your all-time total coding time.
Project Tracking — List all projects detected by your IDE plugins and see daily summaries of activity per project.
Goal Monitoring — Check your progress on custom coding goals and retrieve specific details for individual targets.
Activity Analysis — Inspect raw heartbeats and duration blocks to understand exactly when and how you are working.

The WakaTime (Coding Stats) MCP Server exposes 14 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 WakaTime (Coding Stats) tools available for Google ADK

When Google ADK connects to WakaTime (Coding Stats) through Vinkius, your AI agent gets direct access to every tool listed below — spanning coding-stats, time-tracking, developer-productivity, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create external duration on WakaTime (Coding Stats)

Create activity from an external app

create

Create heartbeat on WakaTime (Coding Stats)

Create a raw coding activity ping

get

Get all time since today on WakaTime (Coding Stats)

Get total time logged since account creation

get

Get goal on WakaTime (Coding Stats)

Get a specific user-defined coding goal

get

Get stats on WakaTime (Coding Stats)

Get summarized coding statistics for a given range

list

List commits on WakaTime (Coding Stats)

List of commits for a project with time spent on each

list

List custom rules on WakaTime (Coding Stats)

Get rules to modify or delete coding activity based on patterns

list

List durations on WakaTime (Coding Stats)

Get coding activity joined into blocks based on keystroke timeout

list

List external durations on WakaTime (Coding Stats)

g., Google Calendar). Get activity created from external apps

list

List goals on WakaTime (Coding Stats)

List user-defined coding goals and their progress

list

List heartbeats on WakaTime (Coding Stats)

Get raw coding activity pings from IDE plugins

list

List projects on WakaTime (Coding Stats)

List of projects detected for the user

list

List summaries on WakaTime (Coding Stats)

Get daily totals of coding activity

update

Update custom rules on WakaTime (Coding Stats)

Update rules to modify or delete coding activity

Connect WakaTime (Coding Stats) to Google ADK via MCP

Follow these steps to wire WakaTime (Coding Stats) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 14 tools from WakaTime (Coding Stats) via MCP

Why Use Google ADK with the WakaTime (Coding Stats) MCP Server

Google ADK provides unique advantages when paired with WakaTime (Coding Stats) through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with WakaTime (Coding Stats)

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine WakaTime (Coding Stats) tools with BigQuery, Vertex AI, and Cloud Functions

WakaTime (Coding Stats) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the WakaTime (Coding Stats) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query WakaTime (Coding Stats) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine WakaTime (Coding Stats) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query WakaTime (Coding Stats) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including WakaTime (Coding Stats)

Example Prompts for WakaTime (Coding Stats) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with WakaTime (Coding Stats) immediately.

"Show me my coding stats for the last 7 days."

"What are my current coding goals and how am I doing?"

"Give me a summary of my coding activity for yesterday."

Troubleshooting WakaTime (Coding Stats) MCP Server with Google ADK

Common issues when connecting WakaTime (Coding Stats) to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

WakaTime (Coding Stats) + Google ADK FAQ

Common questions about integrating WakaTime (Coding Stats) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.