How to Use the timeghost MCP in OpenAI Agents SDK
Connect your OpenAI Agent to timeghost. Build autonomous agents that manage projects and track time with built-in safety guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect timeghost MCP to OpenAI Agents SDK
Create your Vinkius account to connect timeghost to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Automate Project Scoping
Stop digging through web portals for project details. You can build an agent that finds a project ID with `list_timeghost_projects`, pulls its full record using `get_timeghost_project`, and then lists all associated work items with `list_timeghost_tasks`. This is how you build specialized agents that hand off work. One agent finds the project, another analyzes the tasks. The OpenAI Agents SDK makes these handoffs simple, so your agents can collaborate on complex jobs without you writing glue code.
Manage Workspace Access with this MCP Server
Give your agent the ability to understand your team structure. It can get a full list of available environments using `list_timeghost_workspaces` to orient itself. From there, a separate, more privileged agent could use `list_timeghost_members` to check who has access to what. This is perfect for building automated onboarding bots or running security checks, all within the safety of the agent framework.
Build Auditable Time Reports
This MCP server is your agent's direct line to billing data. Before running a report, your agent can ping the API with `check_timeghost_status` to make sure it's online. Then, it can find the right customer with `list_timeghost_clients` and pull all their hours using `list_timeghost_entries`. Need to investigate a specific line item? The agent can use the ID from the list to fetch a single record with `get_timeghost_entry`. Because every action is traced in your OpenAI dashboard, you have a full audit log of how the report was generated.
Set up timeghost 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 timeghost tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives timeghost tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate timeghost 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="timeghost Agent",
instructions="You have access to timeghost 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 timeghost. 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.
Why Choose Vinkius
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Real-time monitoring
Live
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Built-in savings
60%
lower AI costs
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Single dashboard
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place for every integration
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Common questions about timeghost MCP in OpenAI Agents SDK
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