How to Use the timeghost MCP in AutoGen

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Connect timeghost MCP to AutoGen

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Setup timeghost with AutoGen

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Coordinate workspace access across AutoGen agents

The `check_timeghost_status` tool verifies API responsiveness so your AutoGen agents don't run into downstream execution errors. This is the first check in your multi-agent workflow on this MCP server. Once verified, the supervisor agent calls `list_timeghost_workspaces` to identify active targets. It then uses `list_timeghost_members` to assign tasks to the correct team members.

Reconcile projects and client accounts

The `list_timeghost_clients` tool pulls the active account directory so your billing agents have a single source of truth during debates. This ensures the correct client is selected. The agent then cross-references this with `list_timeghost_projects` to find active initiatives. If there is a dispute, it calls `get_timeghost_project` to inspect the project details and resolve the conflict.

Audit and record active timesheets

The `list_timeghost_tasks` tool gathers active work items so your auditing agents can verify the scope of work. The agent then checks specific assignments with `get_timeghost_task` using the MCP toolset. Before final approval, the agent scans recent logs with `list_timeghost_entries` to catch overlaps. It then pulls individual details with `get_timeghost_entry` to confirm everything matches.

Setup guide

Set up timeghost 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 timeghost 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="timeghost_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="timeghost_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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Common questions about timeghost MCP in AutoGen

You assign the tools to a specific agent in your group chat. That agent executes the calls only after the group reaches a consensus on the logged hours via the timeghost MCP server.

Yes, the server supports streamable HTTP transport. You can register the tools using the MCP adapter and expose them to your agent mesh.

The auditing agent is programmed to query recent entries before approving a new write. This consensus step eliminates duplicate timesheet entries.

No, the connection is pre-configured through Vinkius. Your agents interact directly with the API using a single secure token.

Your workspace tokens are encrypted at rest and never exposed to the agents. The MCP server sandbox processes data ephemerally, ensuring your credentials remain private.

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