Skedda MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Skedda 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="Skedda Assistant",
instructions=(
"You help users interact with Skedda. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Skedda"
)
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 Skedda MCP Server
Connect your Skedda workspace to any AI agent to completely fully automate facility management and space scheduling. Handle your entire booking lifecycle through natural language conversations.
The OpenAI Agents SDK auto-discovers all 9 tools from Skedda through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Skedda, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Space & Venue Discovery — List all available physical spaces, venues, and their categorized groups (e.g., Office Hot Desks, Boardrooms)
- Booking Operations — Retrieve your current schedule, or instantly create, update, and delete reservations natively
- User Management — Look up fellow employees, customers, or members in the directory to assign them to bookings
- Availability Tracking — Filter your list of reservations by specific timeframes (ISO 8601) to identify empty slots
The Skedda MCP Server exposes 9 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 Skedda to OpenAI Agents SDK via MCP
Follow these steps to integrate the Skedda 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 9 tools from Skedda
Why Use OpenAI Agents SDK with the Skedda MCP Server
OpenAI Agents SDK provides unique advantages when paired with Skedda 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
Skedda + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Skedda MCP Server delivers measurable value.
Automated workflows: build agents that query Skedda, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Skedda, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Skedda tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Skedda to resolve tickets, look up records, and update statuses without human intervention
Skedda MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Skedda to OpenAI Agents SDK via MCP:
create_booking
Requires space ID, user ID, and start/end times. Creates a new booking
delete_booking
This action is irreversible. Permanently deletes a booking
get_booking_details
Retrieves details for a specific booking
list_bookings
You can filter by date range. Lists all bookings in Skedda
list_space_categories
g., "Meeting Rooms", "Desks"). Lists space categories
list_spaces
Lists all available spaces
list_users
Lists all users in the Skedda account
list_venues
Lists all venues
update_booking
Updates an existing booking
Example Prompts for Skedda in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Skedda immediately.
"List all meeting room zones and internal spaces we have available."
"Can you book 'Focus Pod 1' for tomorrow from 10:00 AM to 12:00 PM for user Marc Smith?"
"Cancel all bookings scheduled for the 'Training Center' on Friday."
Troubleshooting Skedda MCP Server with OpenAI Agents SDK
Common issues when connecting Skedda to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Skedda + OpenAI Agents SDK FAQ
Common questions about integrating Skedda 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 Skedda 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 Skedda to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
