Pydantic AISDK

Wakapi (WakaTime Alternative) MCP Server

Bring Coding Stats
to Pydantic AI

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

Learn how to connect Wakapi (WakaTime Alternative) to Pydantic AI and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get StatsGet SummariesList ProjectsSend Heartbeats

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Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Wakapi API URL and API Key
Start analyzing your coding habits from Claude, Cursor, or any MCP-compatible client

Who is this for?

Individual Developers — track your own productivity and see which languages you spend the most time on.
Engineering Managers — get high-level summaries of team activity and project distribution.
Freelancers — accurately report time spent on specific client projects without manual timers.

Built-in capabilities (4)

get_stats

Retrieve coding statistics for a user

get_summaries

Retrieve a detailed summary of activity

list_projects

List all projects tracked by the user

send_heartbeats

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

Why Pydantic AI?

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.

—
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

See it in action

Wakapi (WakaTime Alternative) in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Wakapi (WakaTime Alternative) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Wakapi (WakaTime Alternative) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Wakapi (WakaTime Alternative) in Pydantic AI

The Wakapi (WakaTime Alternative) 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Wakapi (WakaTime Alternative) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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

The Vinkius Advantage

How Vinkius secures
Wakapi (WakaTime Alternative) for Pydantic AI

Every tool call from Pydantic AI to the Wakapi (WakaTime Alternative) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I see my coding statistics for the last 7 days?

You can use the get_stats tool and specify 'last_7_days' as the range. The agent will return a breakdown of your languages, editors, and projects for that period.

Can I get a list of all projects I have ever tracked in Wakapi?

Yes! Use the list_projects tool. It will retrieve all project names associated with your account, allowing you to see the scope of your tracked work.

Is it possible to track activity for a specific date range?

Absolutely. Use the get_summaries tool by providing a 'start' and 'end' date in YYYY-MM-DD format. You can even filter this by a specific project name.

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.