How to Use the WakaTime (Coding Stats) MCP in OpenAI Agents SDK
Track developer effort and project metrics using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect WakaTime (Coding Stats) MCP to OpenAI Agents SDK
Create your Vinkius account to connect WakaTime (Coding Stats) 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.
Manage Projects and Goals
You can fetch all detected projects for the user by calling `list_projects`. This tells your agent exactly what code bases were active. The system also lets you read defined targets using `list_goals`, so agents always know what metrics they’re aiming for.
Analyze Coding Time Metrics
The tool provides summarized coding statistics over a chosen time frame via `get_stats`. This gives your agent the big picture of productivity. Plus, you can get daily breakdowns using `list_summaries`, which is perfect for generating weekly reports or finding trends.
Input and Correct Activity Data
When an activity comes from outside the IDE—like a Google Calendar event—you feed it in using `create_external_duration`. This ensures your agent doesn't miss data points. If tracking needs change, you update logic with `update_custom_rules` to modify or delete specific coding activities based on patterns.
Set up WakaTime (Coding Stats) MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all WakaTime (Coding Stats) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives WakaTime (Coding Stats) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate WakaTime (Coding Stats) tools and returns structured results. Copy the full example on the right to get started.
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="WakaTime (Coding Stats) Agent",
instructions="You have access to WakaTime (Coding Stats) tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 OpenAI Agents SDK
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