How to Use the NMKR Cardano MCP in OpenAI Agents SDK
Connect the NMKR Cardano MCP Server to your OpenAI Agents SDK to manage NFT project assets and payouts with built-in execution guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NMKR Cardano MCP to OpenAI Agents SDK
Create your Vinkius account to connect NMKR Cardano 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.
OpenAI Agents SDK Asset Tracking
Your production agent needs real-time visibility into your Cardano project state. Using `get_project_counts`, the system pulls asset metrics directly from NMKR Studio. If you need specific asset data, `list_project_nfts` and `get_nft_details` fetch the exact metadata for individual tokens. OpenAI's built-in tracing logs these fetch operations automatically. You see exactly what the agent pulled before it decides to act on the data. Before running a large batch, you can also check `get_project_discounts` to ensure your volume pricing applies correctly.
Pre-Mint Metadata Validation
Broken metadata ruins NFT drops. Instead of waiting for a failed on-chain transaction, your agent runs `validate_nft_metadata` to catch formatting errors early. This MCP Server tool checks the structure against CIP-25 standards before any ADA gets spent. You can configure OpenAI guardrails to require this validation step before proceeding. If the metadata fails the check, the agent halts the pipeline and alerts your team. It prevents malformed assets from ever reaching the minting phase.
Managing Payouts and Coupons
Running an NFT marketplace requires strict tracking of where the money goes. Your agent uses `list_payout_wallets` and `list_split_addresses` to verify the exact Cardano addresses configured for revenue sharing. It also tracks `list_vesting_addresses` for locked team allocations. Minting operations burn through platform credits. The agent calls `get_mint_coupon_balance` to check your available NMKR coupons. If the balance drops below your defined safety threshold, a specialized billing agent can take over the workflow to handle replenishment.
Set up NMKR Cardano 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 NMKR Cardano tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives NMKR Cardano tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate NMKR Cardano 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="NMKR Cardano Agent",
instructions="You have access to NMKR Cardano 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 NMKR. 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 NMKR Cardano MCP in OpenAI Agents SDK
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