How to Use the Wolai MCP in OpenAI Agents SDK
Build Production Wolai Automation with the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wolai MCP to OpenAI Agents SDK
Create your Vinkius account to connect Wolai 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.
MCP Server: Managing Wolai Pages and Content
Need to manage content across multiple pages? Your agent calls `list_pages` to see every page in your account. Then, it can grab specific details using `get_page` or add new information with `create_page`. It’s how you automate document creation.
MCP Server: Querying and Building Databases
The agent handles structured data by checking the schema first. You can call `get_database` to see what fields are available, then use `list_databases` to find the right one. Finally, it runs queries using `query_database` or adds new records with `create_database_row`.
MCP Server: Discovering and Indexing Content
Want to see what's actually inside a specific document? The agent can run `list_blocks` for any given page, giving you a list of contained blocks. It also knows how to pull down all the necessary lists using tools like `list_users`, making it an info hub.
Set up Wolai 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 Wolai tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Wolai tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Wolai 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="Wolai Agent",
instructions="You have access to Wolai 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 Wolai. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Wolai MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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