How to Use the Wakapi (WakaTime Alternative) MCP in OpenAI Agents SDK

Q: What happens to my coding time when I use Wakapi (WakaTime Alternative) with OpenAI Agents SDK?

The sendheartbeats tool writes the coding time directly to the server. This data feeds into your agent's memory, giving you accurate tracking for later analysis.

Q: Does Wakapi (WakaTime Alternative) support project listing with OpenAI Agents SDK?

Yes. You can call listprojects through the MCP Server. This lets your agent know exactly what projects are active and available for tracking.

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Connect Wakapi (WakaTime Alternative) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Wakapi (WakaTime Alternative) to OpenAI Agents SDK 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 Wakapi (WakaTime Alternative) with OpenAI Agents SDK

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Track Coding Activity with MCP Server

The `send_heartbeats` tool lets your agent log coding sessions. You just send a heartbeat object, and the system tracks that time against the user profile. It’s built for production use cases. The data feeds into the broader MCP Server structure, giving you verifiable activity logs that feed your specialized agents.

Get Detailed Activity Summaries

Need to know what happened last week? Use `get_summaries` to pull a detailed breakdown of coding time. This doesn't just give totals; it provides the context needed for your agents to make decisions. This data is critical for building reliable agent workflows that need deep historical knowledge, not just simple counts.

Manage Projects from Your Agent

Your agents can manage project scope using `list_projects`. This tool shows every single project the user has tracked within Wakapi. It keeps your agent's context clean and focused. This function allows specialized agents to validate which projects they should even be working on, preventing them from wasting cycles.

Setup guide

Set up Wakapi (WakaTime Alternative) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Wakapi (WakaTime Alternative) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Wakapi (WakaTime Alternative) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Wakapi (WakaTime Alternative) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Wakapi (WakaTime Alternative) Agent",
            instructions="You have access to Wakapi (WakaTime Alternative) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Wakapi (WakaTime Alternative) MCP in OpenAI Agents SDK

Your agent uses the MCP Server to talk directly to Wakapi. It just needs the endpoint token, and it can start calling tools like `get_stats` right away.

Absolutely. Since you're building a production system, the MCP Server handles the heavy lifting of pulling and structuring activity logs so your specialized agents can process them without issue.

The `send_heartbeats` tool writes the coding time directly to the server. This data feeds into your agent's memory, giving you accurate tracking for later analysis.

Yes. You can call `list_projects` through the MCP Server. This lets your agent know exactly what projects are active and available for tracking.

The server handles coding activity logs, which include project names, timestamps, and usage duration. This is the type of sensitive productivity data your agent will be working with.

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