How to Use the DappRadar (Web3 Dapp & NFT Analytics) MCP in OpenAI Agents SDK

Q: How do I paginate through dapps with this MCP setup?

Use the listdapps tool inside your agent loop. Your Python code passes the page parameters directly, letting the agent step through the entire registry systematically.

Get raw DappRadar Web3 metrics straight to your OpenAI Agents SDK production workflows without writing wrapper APIs.

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Connect DappRadar (Web3 Dapp & NFT Analytics) MCP to OpenAI Agents SDK

Create your Vinkius account to connect DappRadar (Web3 Dapp & NFT Analytics) 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 DappRadar (Web3 Dapp & NFT Analytics) with OpenAI Agents SDK

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Pull chain stats directly into your agent loops

The `get_chain_stats` tool pulls real-time transaction volume, active wallets, and gas fees for any supported blockchain ecosystem directly into your OpenAI Agents SDK runtime. Your production agent reads these metrics to determine which network is pulling the most liquidity before routing user funds. You pass this tool directly to the agent constructor to handle raw data lookups. The agent evaluates the on-chain activity safely, using your defined guardrails to block executions if transaction volume drops below your safe thresholds.

Safe dapp metrics tracking

The `get_dapp_metrics` tool pulls historical user activity and volume trends for specific decentralized applications directly into your multi-agent architecture. This lets you build dedicated research agents that track competitor growth on Ethereum or Solana without writing custom scrapers. Because this MCP Server integrates with the SDK, your supervisor agent can hand off analysis tasks to a specialized data-crunching agent. The target agent runs the query, runs the validation step, and pipes the structured metrics straight to your dashboard.

Automated NFT valuation via the MCP Server

The `get_nft_collection_metrics` tool pulls historical floor prices and transaction counts for any collection tracked by DappRadar. Your agent uses this data to spot volume spikes and alert your trading desk before prices shift. By declaring the MCP Server in your Python config, you let the agent auto-discover how to query these NFT metrics. The agent handles the API calls in the background, leaving your main application loop free to execute trades.

Setup guide

Set up DappRadar (Web3 Dapp & NFT Analytics) 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 DappRadar (Web3 Dapp & NFT Analytics) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives DappRadar (Web3 Dapp & NFT Analytics) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DappRadar (Web3 Dapp & NFT Analytics) 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="DappRadar (Web3 Dapp & NFT Analytics) Agent",
            instructions="You have access to DappRadar (Web3 Dapp & NFT Analytics) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DappRadar. 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 DappRadar (Web3 Dapp & NFT Analytics) MCP in OpenAI Agents SDK

Install the SDK and pass the Vinkius HTTP endpoint to your MCP server configuration. The SDK auto-discovers the tools like `list_chains` and exposes them directly to your agent.

Yes, you configure the SDK to cache the tool list using the `cacheToolsList` parameter. This prevents redundant schema lookups and keeps your agent responsive.

You write validation checks that intercept the tool outputs before they reach your main application state. If an agent tries to query a non-existent chain, your guardrails catch the error.

Use the `list_dapps` tool inside your agent loop. Your Python code passes the page parameters directly, letting the agent step through the entire registry systematically.

This server only handles public blockchain metrics, dapp usage stats, and NFT floor prices. No private wallet keys or user credentials ever pass through the Vinkius sandbox, keeping your infrastructure isolated.

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