Hub Planner MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Hub Planner through the 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="Hub Planner Assistant",
instructions=(
"You help users interact with Hub Planner. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Hub Planner"
)
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 Hub Planner MCP Server
Connect your AI agents to Hub Planner to optimize your resource management. This MCP server allows you to list resources, track project progress, manage bookings, and view client information directly through the Hub Planner API. Ideal for project managers and operations teams.
The OpenAI Agents SDK auto-discovers all 10 tools from Hub Planner through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Hub Planner, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
The Hub Planner MCP Server exposes 10 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 Hub Planner to OpenAI Agents SDK via MCP
Follow these steps to integrate the Hub Planner 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 10 tools from Hub Planner
Why Use OpenAI Agents SDK with the Hub Planner MCP Server
OpenAI Agents SDK provides unique advantages when paired with Hub Planner 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
Hub Planner + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Hub Planner MCP Server delivers measurable value.
Automated workflows: build agents that query Hub Planner, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Hub Planner, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Hub Planner tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Hub Planner to resolve tickets, look up records, and update statuses without human intervention
Hub Planner MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Hub Planner to OpenAI Agents SDK via MCP:
get_me
Gets current authenticated user info
list_bookings
Lists resource bookings
list_categories
Lists booking categories
list_clients
Lists all clients
list_events
Lists events/time-off
list_projects
Lists all projects
list_resources
Lists resources (people, equipment)
list_tags
Lists tags used in projects and resources
list_teams
Lists all teams
list_unassigned
Lists unassigned bookings
Example Prompts for Hub Planner in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Hub Planner immediately.
"List all resources in Hub Planner."
"Show me active projects."
"Check bookings for the next 7 days."
Troubleshooting Hub Planner MCP Server with OpenAI Agents SDK
Common issues when connecting Hub Planner to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Hub Planner + OpenAI Agents SDK FAQ
Common questions about integrating Hub Planner 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 Hub Planner 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 Hub Planner to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.