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How to Use the GitScrum Time Tracking MCP in AutoGen

Let AutoGen agents debate project budgets and coordinate GitScrum timers.

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AutoGen

Connect GitScrum Time Tracking MCP to AutoGen

Create your Vinkius account to connect GitScrum Time Tracking 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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Multi-agent consensus on GitScrum Time Tracking with AutoGen

This MCP Server brings GitScrum's timer controls into your AutoGen multi-agent conversations. A project manager agent can review `projects_at_risk` while a developer agent tracks daily progress. This prevents rogue time entries in AutoGen workflows. The agents debate the status of `my_today_tasks` and only log hours when they reach a consensus on task completion.

Automate budget auditing via agent debate

This MCP Server integrates GitScrum's financial tracking tools with your AutoGen auditing agents. One agent can monitor `budget_burndown` while another checks `budget_consumption` to spot unusual spikes in resource usage. If a threshold is crossed, the AutoGen agents trigger `budget_alerts` and draft a mitigation plan. They coordinate to update the project status without requiring you to manually audit the spreadsheets.

Coordinate team standups across multiple agents

This MCP Server exposes GitScrum's standup and team status tools to your AutoGen agents. A coordinator agent can pull `team_status` and `standup_blockers` to build a clear picture of team availability. Another agent analyzes this data using `team_time_report` to find who is overloaded. They work together in an AutoGen conversation to reassign tasks and clear bottlenecks before your morning standup even starts.

Setup guide

Set up GitScrum Time Tracking 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 GitScrum Time Tracking 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="GitScrum Time Tracking_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent GitScrum Time Tracking data")
print(result.messages[-1].content)

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Common questions about GitScrum Time Tracking MCP in AutoGen

Use the `mcp_server_tools` helper from the AutoGen extension package. Pass your Vinkius MCP Server URL to get the tools, then register them directly to your `AssistantAgent`.
Yes, they can. An agent can check your active task status, run `get_active_timer` to see what is running, and invoke `stop_timer` or `start_timer` based on real-time triggers.
Agents can use `log_manual_time` to retroactively log hours for completed work. They verify the task details with `get_task` first to ensure the entry matches the correct project.
Yes, the adapter supports both transport layers. You can run the server locally via stdio or connect to a hosted Vinkius endpoint using the Streamable HTTP client.
The integration relies on zero-trust endpoint tokens managed by Vinkius. This means your AutoGen agents can query team status and edit timers without ever gaining direct access to your master GitScrum authentication keys.

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