How to Use the BoxyHQ (Enterprise SSO) MCP in OpenAI Agents SDK
Manage SAML and SCIM connections in your OpenAI Agents SDK projects without leaving your code.
Works with every AI agent you already use
…and any MCP-compatible client
Connect BoxyHQ (Enterprise SSO) MCP to OpenAI Agents SDK
Create your Vinkius account to connect BoxyHQ (Enterprise SSO) 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.
Automate SSO onboarding with OpenAI Agents SDK
Stop manually configuring identity providers. Use `add_connection` to push SAML or OIDC settings directly from your agent logic. You'll save hours by letting your agent handle the initial handshake instead of clicking through dashboards.
Sync directory members for OpenAI Agents SDK
Pull live user lists into your agent context using `get_directory_users`. It keeps your access control logic synced with the source of truth. Your agent can now verify identity data in real-time, ensuring only authorized users trigger your production workflows.
Control identity lifecycle in OpenAI Agents SDK
Call `delete_connection` or `update_connection` when projects wrap up or security requirements change. You maintain full control over the lifecycle of every tenant. This MCP server gives your agent the authority to prune stale access routes without needing a manual audit.
Set up BoxyHQ (Enterprise SSO) MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all BoxyHQ (Enterprise SSO) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives BoxyHQ (Enterprise SSO) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate BoxyHQ (Enterprise SSO) tools and returns structured results. Copy the full example on the right to get started.
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="BoxyHQ (Enterprise SSO) Agent",
instructions="You have access to BoxyHQ (Enterprise SSO) tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BoxyHQ. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about BoxyHQ (Enterprise SSO) MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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Start using the BoxyHQ (Enterprise SSO) MCP today
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