ClickTime MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ClickTime through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ClickTime Assistant",
instructions=(
"You help users interact with ClickTime. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ClickTime"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ClickTime MCP Server
Connect your ClickTime account to any AI agent and take full control of your time tracking and resource management through natural conversation. Streamline how you monitor billable hours and project progress natively.
The OpenAI Agents SDK auto-discovers all 8 tools from ClickTime through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ClickTime, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Time Oversight — List and retrieve details for all time entries including hours and descriptions natively
- Project Intelligence — Access and monitor all projects and clients configured in your account flawlessly
- Resource Management — List all users and people in the company to understand team allocation securely
- Task Logistics — Access work types and tasks available for time tracking to ensure accurate data entry flawlessly
- Reporting Deep-Dives — Retrieve high-volume time reports and daily completeness summaries flawlessly
- User Visibility — Access your own profile and API authentication details directly within your workspace
The ClickTime MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ClickTime to OpenAI Agents SDK via MCP
Follow these steps to integrate the ClickTime MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from ClickTime
Why Use OpenAI Agents SDK with the ClickTime MCP Server
OpenAI Agents SDK provides unique advantages when paired with ClickTime through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ClickTime + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ClickTime MCP Server delivers measurable value.
Automated workflows: build agents that query ClickTime, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ClickTime, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ClickTime tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ClickTime to resolve tickets, look up records, and update statuses without human intervention
ClickTime MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect ClickTime to OpenAI Agents SDK via MCP:
get_high_volume_time_report
Retrieve a high-volume report of time entries (up to 2500 records)
get_my_clicktime_profile
Retrieve information about the currently authenticated user
list_clicktime_clients
List all clients configured in ClickTime
list_clicktime_jobs
List all jobs (active and inactive) in the system
list_clicktime_projects
List all projects configured in ClickTime
list_clicktime_tasks
List all tasks (work types) available for time tracking
list_clicktime_users
List all people and users in the company
list_time_entries
List time tracking entries
Example Prompts for ClickTime in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ClickTime immediately.
"List all time entries from today in ClickTime."
"Show me all clients configured in my account."
"What is the high-volume time report status?"
Troubleshooting ClickTime MCP Server with OpenAI Agents SDK
Common issues when connecting ClickTime to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ClickTime + OpenAI Agents SDK FAQ
Common questions about integrating ClickTime MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ClickTime with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ClickTime to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.