How to Use the Howspace MCP in OpenAI Agents SDK

Q: How do I handle Howspace participant lists in OpenAI Agents SDK?

Your agent calls listparticipants to pull the roster of any active workspace. You can then feed this data into other nodes in your OpenAI Agents SDK pipeline for automated reporting.

Q: What is the best way to run this MCP Server?

Run the server via HTTP transport and pass it in the mcpservers list during agent initialization. Enable tool caching to keep your runtimes under 200 milliseconds.

Build OpenAI Agents SDK workflows that spin up workspaces and add participants instantly based on actual workshop engagement.

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Connect Howspace MCP to OpenAI Agents SDK

Create your Vinkius account to connect Howspace to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Howspace with OpenAI Agents SDK

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Automate workshop creation with OpenAI Agents SDK

This MCP Server lets your OpenAI Agents SDK agent invoke `create_workspace` to build custom Howspace learning environments dynamically. Your agent checks active setups using `list_workspaces` and uses OpenAI guardrails to prevent empty Howspace setups. By passing this server to your OpenAI Agents SDK stream, you prevent administrative bottlenecks in Howspace. Your OpenAI Agents SDK agent handles the Howspace workspace provisioning autonomously, using built-in safety constraints to protect your billing limits.

Manage participant rosters dynamically

Your OpenAI Agents SDK agent uses `add_participant` to register users into the correct Howspace workspace as soon as they sign up, logging the action via OpenAI tracing. It reads the current Howspace roster with `list_participants` to avoid adding duplicates or leaving anyone out. This integration keeps your OpenAI Agents SDK system in sync with your actual Howspace user list. You get real-time roster updates driven entirely by OpenAI Agents SDK agentic decisions based on incoming webhooks.

Track organizational development campaigns

Run `list_campaigns` to let your OpenAI Agents SDK agent map out ongoing training initiatives across your Howspace account. The agent queries `get_workspace` to pull specific details and match Howspace workspaces with their parent campaigns. This structure gives your OpenAI Agents SDK deployment the exact context it needs to audit active Howspace programs. You see which Howspace workspaces belong to which strategic tracks without digging through database tables.

Setup guide

Set up Howspace MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Howspace tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Howspace tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Howspace tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Howspace Agent",
            instructions="You have access to Howspace tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Howspace MCP in OpenAI Agents SDK

Your agent auto-discovers the tools when you pass the MCP Server endpoint to the constructor. It instantly maps out tools like `list_workspaces` and `add_participant` for immediate use.

Yes, you set guardrails in your agent configuration to control when `create_workspace` is called. This prevents your OpenAI Agents SDK setup from generating empty workspaces without approval.

Your agent calls `list_participants` to pull the roster of any active workspace. You can then feed this data into other nodes in your OpenAI Agents SDK pipeline for automated reporting.

Run the server via HTTP transport and pass it in the mcp_servers list during agent initialization. Enable tool caching to keep your runtimes under 200 milliseconds.

This MCP Server processes your Howspace participant lists and emails inside an ephemeral sandbox. No data is stored or cached on our infrastructure, maintaining zero-trust isolation.

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