How to Use the Wakapi (WakaTime Alternative) MCP in AutoGen

Run multi-agent debates to decide reporting strategies for Wakapi with AutoGen.

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Connect Wakapi (WakaTime Alternative) MCP to AutoGen

Create your Vinkius account to connect Wakapi (WakaTime Alternative) 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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Setup Wakapi (WakaTime Alternative) with AutoGen

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Perplexity

Debate project scope via `list_projects`

`list_projects` gives the agents a definitive list of all tracked projects. In an AutoGen setup, different agents can debate which projects are most relevant to report on. For instance, one agent might flag that Project Alpha is stale, while another argues it still needs tracking based on its last heartbeat.

Consensus on metrics using `get_stats`

The agents can challenge the raw data from `get_stats`. Instead of just presenting numbers, they negotiate which metrics matter most for the user's goal. One agent might focus on time allocation while another insists on commit volume. This consensus-driven approach helps you filter out noise and find the signal in your coding effort.

Decide reporting context with `get_summaries`

`get_summaries` provides a narrative that multiple agents can argue over. A 'Security Agent' might challenge a summary if it mentions high-risk dependencies, while a 'Performance Agent' focuses solely on the speed of output. The result is a nuanced report based on conflicting expert opinions.

Setup guide

Set up Wakapi (WakaTime Alternative) MCP in AutoGen

Prerequisites

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

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

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

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Wakapi (WakaTime Alternative) 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="Wakapi (WakaTime Alternative)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
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"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Wakapi (WakaTime Alternative)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wakapi. 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 Wakapi (WakaTime Alternative) MCP in AutoGen

AutoGen facilitates multi-agent conversations around the data. The agents don't just execute; they discuss, challenge each other's interpretations of the API calls.

Yes. You build systems where the answer requires deliberation between competing viewpoints—like a 'Product Manager Agent' arguing for feature scope while an 'Engineer Agent' argues for technical debt reduction.

The benefit is consensus. The final decision isn't obvious from a single API call; it emerges after multiple agents debate and converge on the best conclusion.

It handles schema conversion automatically and supports various transports. You just pass the list of available MCP tools to the agent constructor, and it manages the rest.

The server touches coding statistics, project metadata, and activity summaries. These diverse types allow for rich debate among competing agents.

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