How to Use the Toket MCP in OpenAI Agents SDK
Build production e-commerce systems with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Toket MCP to OpenAI Agents SDK
Create your Vinkius account to connect Toket 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.
Manage NFT Collections via MCP Server
The agent can list all your existing collections using `list_collections`. You'll find the specific details of any single collection by calling `get_collection`, which requires a symbol and owner wallet. Need to set up a new drop? Use `create_collection` to establish the name, symbol, and owning wallet for a fresh NFT line.
Process Minting Transactions
You don't have to manually check every transaction. After you run an initial mint, use `get_mint_status` to track its progress. For immediate deployment, the agent can execute a new sale using `mint_nft`, placing it into a specific collection. If you want to quickly test out a single piece without complex setup, just call `easy_mint`. It's built for fast action.
Check Crypto Payment Readiness
Running an e-commerce widget requires knowing your gas status. The agent checks the current balance with `get_gas_tank_status` before any major operation. This whole process supports crypto payments—Bitcoin, Ethereum, and stablecoins—so you can build a reliable checkout system that handles real money.
Set up Toket 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 Toket tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Toket tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Toket 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="Toket Agent",
instructions="You have access to Toket 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 Toket. 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 Toket MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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