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How to Use the Mnemonic MCP in OpenAI Agents SDK

Plug Mnemonic into your OpenAI Agents SDK pipeline to get verified NFT market intelligence without the manual data wrangling.

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OpenAI Agents SDK

Connect Mnemonic MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mnemonic 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.

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Real-time wallet and NFT tracking

Your agent pulls live asset states using `get_wallet_nfts` and `get_nft_prices` to feed your production guardrails. This setup ensures that every decision your agent makes is grounded in current chain data. By using `list_transfers` within your OpenAI agents, you can trace ownership changes as they happen. It removes the guesswork from portfolio valuation and keeps your system state consistent.

Automated collection analysis

Trigger `get_collection_stats` or `get_collection_details` to build an automated research loop. Your agent can scan for market shifts without needing a custom database. This MCP Server provides the raw metadata your agents need to filter noise. You gain direct access to `search_collections` to identify trends before they hit the main dashboard.

Secure agent handoffs

Pass data between specialized agents using the structured outputs from `get_contract_metadata`. Because the MCP protocol handles the connection, your agent logic stays clean and focused. You can chain these tools together to verify asset provenance. It keeps your tracing accurate and your production logs clean.

Setup guide

Set up Mnemonic MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Mnemonic tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Mnemonic tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mnemonic tools and returns structured results. Copy the full example on the right to get started.

agent.py
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="Mnemonic Agent",
            instructions="You have access to Mnemonic 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 Mnemonic. 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 Mnemonic MCP in OpenAI Agents SDK

You simply call the tool via the agent's natural language interface. The SDK handles the tool discovery automatically, letting you query `search_collections` directly.
Yes. Vinkius manages the connection and keeps your endpoint tokens isolated. Your agent only interacts with the data you explicitly authorize.
It reduces latency by giving your agent direct access to structured NFT data. You avoid the overhead of manual API calls and external data parsing.
Absolutely. The server is built for non-blocking I/O, which fits perfectly with the async nature of your Python agent code.
We enforce strict read-only access to pricing schemas. Your agent only sees the specific metadata requested via `get_nft_prices` and nothing more.

Start using the Mnemonic MCP today

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