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How to Use the WakaTime (Coding Stats) MCP in AutoGen

Build consensus-driven teams debating code stats using AutoGen and WakaTime (Coding Stats).

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Connect WakaTime (Coding Stats) MCP to AutoGen

Create your Vinkius account to connect WakaTime (Coding Stats) to AutoGen 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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Debating Coding Goals with MCP Server

Set up two agents: a 'Goal Checker' and a 'Stats Reporter.' The Goal Checker calls `get_goal`, while the Stats Reporter uses `get_stats`. They then debate whether current metrics align with the stated objectives, forcing convergence on actionable insights.

Analyzing Project Time Allocation via AutoGen

You can have a 'Project Manager' agent call `list_projects` and another 'Time Tracker' agent call `list_commits`. They negotiate which projects are over- or under-allocated time, providing a consensus view of resource usage.

Validating Time Entries with AutoGen

Use the Debate framework to validate raw data. One agent pulls external logs using `list_external_durations`, and a second agent compares those timestamps against IDE-generated pings from `list_heartbeats`. They flag discrepancies for review.

Setup guide

Set up WakaTime (Coding Stats) MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 2

    Fetch tools from the MCP

    Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes WakaTime (Coding Stats) tools and returns structured results.

agent.py
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="WakaTime (Coding Stats)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent WakaTime (Coding Stats) data")
print(result.messages[-1].content)

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Common questions about WakaTime (Coding Stats) MCP in AutoGen

You assign different tools to different agents. One agent might gather `list_durations` data, and another agent debates how that time chunk impacts the defined goals from `get_goal`, leading to a negotiated conclusion.
Run an arbitration process. Have one agent propose a new feature, and another uses tools like `list_commits` and `get_stats` to debate whether enough time was actually logged for that complexity.
Yes. You can have a dedicated 'Data Logger' agent use tools like `create_external_duration` and `list_heartbeats`, ensuring all activity is captured and reviewed by the debating team.
The agents can coordinate. One agent calls `get_all_time_since_today`, while another uses `list_summaries` to provide a structured, multi-period view for the debate.
This server handles time duration logs, project names, goal definitions, commit records, raw coding activity pings, and external app timings.

Start using the WakaTime (Coding Stats) MCP today

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