How to Use the Zentitle2 MCP in OpenAI Agents SDK
Manage software licensing with reliability. Built for production agents using OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zentitle2 MCP to OpenAI Agents SDK
Create your Vinkius account to connect Zentitle2 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.
Monitor and Manage Client Accounts
You can list all existing customers via `list_customers` or grab specific records using `get_customer_details`. This lets your agent check who needs an account created with `create_customer`. This capability is crucial when building agents for production environments. Your AI client confirms the user's identity and manages their profile before running any core licensing actions.
Provisioning and Lifecycle Management
Your agent provisions new entitlements by calling `create_entitlement`, which is key to managing software access. It can also list all existing licenses using `list_entitlements` or check specifics with `get_entitlement_details`. This workflow ensures that when a user needs access, the agent handles the provisioning step cleanly. This makes it reliable for agents dealing with high-stakes business processes.
Handling Activation Codes via MCP Server
The `create_activation_code` tool lets your agent generate a fresh code on demand. It also runs checks on existing codes using `get_activation_code_details`, and keeps track of all active codes with `list_activation_codes`. This whole process supports the secure management layer needed for any deployment product. Your agents use this to gate features correctly.
Set up Zentitle2 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 Zentitle2 tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Zentitle2 tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Zentitle2 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="Zentitle2 Agent",
instructions="You have access to Zentitle2 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 Zentitle2. 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 Zentitle2 MCP in OpenAI Agents SDK
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