Dime.Scheduler MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Get Job, List Appointments, List Categories, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dime.Scheduler through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Dime.Scheduler app connector for OpenAI Agents SDK is a standout in the Erp Operations category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Dime.Scheduler Assistant",
instructions=(
"You help users interact with Dime.Scheduler. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dime.Scheduler"
)
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 Dime.Scheduler MCP Server
Connect your Dime.Scheduler account to any AI agent and take full control of your resource orchestration and project scheduling workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 7 tools from Dime.Scheduler through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dime.Scheduler, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Job Orchestration — List and manage planning jobs programmatically, retrieving detailed metadata about parent entities and project requirements
- Task Lifecycle Management — Access and track individual units of work (tasks) that need to be scheduled across your resources in real-time
- Appointment Monitoring — List and inspect all appointments on the graphical planning board to maintain a high-fidelity overview of scheduled activities
- Resource Optimization — Retrieve complete directories of planable resources (people, equipment, tools) to understand team availability and capacity
- Category & Marker Intelligence — Access planning categories and time markers directly through your agent to keep your scheduling board perfectly organized
The Dime.Scheduler MCP Server exposes 7 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.
All 7 Dime.Scheduler tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Dime.Scheduler through Vinkius, your AI agent gets direct access to every tool listed below — spanning resource-planning, scheduling, workforce-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get job details
List all appointments on the planning board
List all planning categories
Scheduler. List all planning jobs
List all planable resources
List all planning tasks
List available time markers
Connect Dime.Scheduler to OpenAI Agents SDK via MCP
Follow these steps to wire Dime.Scheduler into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Dime.Scheduler MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dime.Scheduler 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
Dime.Scheduler + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dime.Scheduler MCP Server delivers measurable value.
Automated workflows: build agents that query Dime.Scheduler, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dime.Scheduler, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dime.Scheduler tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dime.Scheduler to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Dime.Scheduler in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dime.Scheduler immediately.
"List all active planning jobs in Dime.Scheduler."
"Show me all appointments scheduled for tomorrow on the board."
"List all planable resources and their current status."
Troubleshooting Dime.Scheduler MCP Server with OpenAI Agents SDK
Common issues when connecting Dime.Scheduler to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dime.Scheduler + OpenAI Agents SDK FAQ
Common questions about integrating Dime.Scheduler 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.