Wakapi (WakaTime Alternative) MCP Server for Pydantic AIGive Pydantic AI instant access to 4 tools to Get Stats, Get Summaries, List Projects, and more

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

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Wakapi (WakaTime Alternative) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Wakapi (WakaTime Alternative) MCP Server for Pydantic AI is a standout in the Productivity category — giving your AI agent 4 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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Wakapi (WakaTime Alternative) "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Wakapi (WakaTime Alternative)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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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 Wakapi (WakaTime Alternative) MCP Server

Connect your Wakapi instance to any AI agent to monitor your development workflow through natural conversation. Wakapi is a self-hosted, open-source alternative to WakaTime that tracks your coding activity across different editors and languages.

Pydantic AI validates every Wakapi (WakaTime Alternative) tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Coding Statistics — Retrieve detailed stats including languages, editors, and operating systems used over various time ranges using get_stats.
Activity Summaries — Fetch granular summaries of your work for specific date ranges or individual projects with get_summaries.
Project Listing — View all projects you have tracked time for using list_projects to keep your portfolio or billable hours organized.
Heartbeat Tracking — Manually send coding activity heartbeats via send_heartbeats to ensure your timeline is always accurate.

The Wakapi (WakaTime Alternative) MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Wakapi (WakaTime Alternative) tools available for Pydantic AI

When Pydantic AI connects to Wakapi (WakaTime Alternative) through Vinkius, your AI agent gets direct access to every tool listed below — spanning coding-stats, time-tracking, wakatime, 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.

get

Get stats on Wakapi (WakaTime Alternative)

Retrieve coding statistics for a user

get

Get summaries on Wakapi (WakaTime Alternative)

Retrieve a detailed summary of activity

list

List projects on Wakapi (WakaTime Alternative)

List all projects tracked by the user

send

Send heartbeats on Wakapi (WakaTime Alternative)

Provide a heartbeat object or an array of heartbeat objects. Send coding activity heartbeats to Wakapi

Connect Wakapi (WakaTime Alternative) to Pydantic AI via MCP

Follow these steps to wire Wakapi (WakaTime Alternative) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from Wakapi (WakaTime Alternative) with type-safe schemas

Why Use Pydantic AI with the Wakapi (WakaTime Alternative) MCP Server

Pydantic AI provides unique advantages when paired with Wakapi (WakaTime Alternative) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Wakapi (WakaTime Alternative) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Wakapi (WakaTime Alternative) connection logic from agent behavior for testable, maintainable code

Wakapi (WakaTime Alternative) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Wakapi (WakaTime Alternative) MCP Server delivers measurable value.

Type-safe data pipelines: query Wakapi (WakaTime Alternative) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Wakapi (WakaTime Alternative) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Wakapi (WakaTime Alternative) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Wakapi (WakaTime Alternative) responses and write comprehensive agent tests

Example Prompts for Wakapi (WakaTime Alternative) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Wakapi (WakaTime Alternative) immediately.

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

"List all my projects tracked in Wakapi."

"Get a summary of my activity from 2023-10-01 to 2023-10-07."

Troubleshooting Wakapi (WakaTime Alternative) MCP Server with Pydantic AI

Common issues when connecting Wakapi (WakaTime Alternative) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Wakapi (WakaTime Alternative) + Pydantic AI FAQ

Common questions about integrating Wakapi (WakaTime Alternative) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Wakapi (WakaTime Alternative) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.