How to Use the Blur (NFT Trading Marketplace API) MCP in OpenAI Agents SDK

Q: How do I connect the Blur (NFT Trading Marketplace API) to the OpenAI Agents SDK?

Install openai-agents via pip and configure the MCPServerStreamableHttp transport pointing to your Vinkius endpoint. Pass the server instance inside the mcpservers list when initializing your Agent to auto-discover all five marketplace tools.

Q: How does the Blur (NFT Trading Marketplace API) handle floor price updates in OpenAI Agents SDK?

The agent calls getcollectionfloor to fetch the latest floor prices across multiple marketplaces. You can run this inside a loop or trigger it based on specific agent handoffs to monitor price fluctuations in real time.

Q: Why should I use the cacheToolsList option with this marketplace MCP server?

Enabling cacheToolsList=True stops the SDK from querying the server for its tool definitions on every single interaction. This shaves off latency, which is vital when you need to run getasset and execute a trade before the floor price changes.

Run safe, production-grade NFT trading agents that list assets and place bids on Blur using the OpenAI Agents SDK over an MCP connection.

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Connect Blur (NFT Trading Marketplace API) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Blur (NFT Trading Marketplace API) 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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Setup Blur (NFT Trading Marketplace API) with OpenAI Agents SDK

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Direct NFT Trading with Built-in Guardrails

Your agent uses `create_ask` and `create_bid` to execute trades directly on the Blur marketplace. By coupling these tools with the guardrail features of this Python SDK, you set hard limits on maximum bid sizes or specific collection targets before the agent executes the transaction. This setup prevents your autonomous trading system from making rogue offers. The OpenAI dashboard traces every single execution step, giving you a clear audit trail of every bid placed or listing created.

Real-Time Market Data and Multi-Agent Handoffs

The `get_collection_floor` and `get_asset` tools feed live floor prices and individual NFT metadata straight into your specialized analysis agents. Instead of running one massive agent, you configure a dedicated researcher agent that hands off to an execution agent once a target floor price is hit. This modular architecture keeps your prompts clean and your token usage low. Because the OpenAI Agents SDK supports direct agent-to-agent delegation, the transition from analyzing collection trends to executing a trade happens in a single, fluid run.

High-Performance MCP Server Discovery

This MCP Server exposes its full suite of marketplace tools to your agent system with zero manual configuration. You install the SDK, point it to the Vinkius endpoint using `MCPServerStreamableHttp`, and let the agent auto-discover the tools at runtime. Performance matters when floor prices move in seconds. Set `cacheToolsList=True` in your configuration to eliminate discovery overhead on subsequent runs, ensuring your agent gets immediate access to `get_collection` metrics.

Setup guide

Set up Blur (NFT Trading Marketplace API) 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

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

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 Blur (NFT Trading Marketplace API) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Blur (NFT Trading Marketplace API) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Blur (NFT Trading Marketplace API) 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="Blur (NFT Trading Marketplace API) Agent",
            instructions="You have access to Blur (NFT Trading Marketplace API) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Blur (NFT Trading Marketplace API) MCP in OpenAI Agents SDK

Install `openai-agents` via pip and configure the `MCPServerStreamableHttp` transport pointing to your Vinkius endpoint. Pass the server instance inside the `mcp_servers` list when initializing your `Agent` to auto-discover all five marketplace tools.

Yes. You use the SDK's built-in guardrails to inspect tool calls before they run. This lets you write validation logic that blocks `create_bid` calls if they exceed your specified ETH threshold.

The agent calls `get_collection_floor` to fetch the latest floor prices across multiple marketplaces. You can run this inside a loop or trigger it based on specific agent handoffs to monitor price fluctuations in real time.

Enabling `cacheToolsList=True` stops the SDK from querying the server for its tool definitions on every single interaction. This shaves off latency, which is vital when you need to run `get_asset` and execute a trade before the floor price changes.

Your Blur API credentials and active trading keys are isolated within Vinkius's secure, ephemeral sandbox. The server only handles raw marketplace payloads like bids, listings, and collection metadata, keeping your private wallet keys out of the main LLM context window.

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