How to Use the Blur (NFT Trading Marketplace API) MCP in LlamaIndex

Index Blur (NFT Trading Marketplace API) data into LlamaIndex for searchable NFT market intelligence.

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Connect Blur (NFT Trading Marketplace API) MCP to LlamaIndex

Create your Vinkius account to connect Blur (NFT Trading Marketplace API) to LlamaIndex 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 LlamaIndex

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LlamaIndex knowledge bases with Blur

Pipe `get_collection` data straight into your vector index to build a searchable history of market stats. Your agent queries this index to find patterns in collection performance. This moves your trading strategy beyond simple scripts. You are building a system that remembers how floors shifted last week.

Query floor prices in LlamaIndex

Run `get_collection_floor` to populate your index with current market data. LlamaIndex then allows you to ask questions about price movements across your portfolio. Your agent answers based on the index you created. It is the fastest way to ground your decisions in reality.

Execute trades from LlamaIndex

Trigger `create_ask` or `create_bid` once your semantic search identifies a target asset. The tool integration connects your index directly to the market. This creates a closed-loop system for your NFT operations. You search, you decide, and you execute within one session.

Setup guide

Set up Blur (NFT Trading Marketplace API) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Blur (NFT Trading Marketplace API) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Blur (NFT Trading Marketplace API) tools.",
)
response = await agent.run("List recent Blur (NFT Trading Marketplace API) data")

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Common questions about Blur (NFT Trading Marketplace API) MCP in LlamaIndex

It is highly stable because it uses standard tool specs. Your index remains consistent even if the underlying API changes.

Use the MCP tool spec to pull data and pass it to your vector store. It handles the formatting so you can start querying immediately.

You can call the execution tools directly from your function agent. It acts as the bridge between your indexed research and the market.

No, Vinkius handles the transport. You only need to point your client to the server URL.

It only reads public collection metadata and market floor prices. It has no access to your personal financial records or identity.

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