How to Use the DappRadar (Web3 Dapp & NFT Analytics) MCP in Mastra AI

Q: How do I register the DappRadar (Web3 Dapp & NFT Analytics) MCP Server in my Mastra AI project?

Install @mastra/mcp and instantiate a new client with your Vinkius server URL. Call listTools() on that client and pass the resulting tools directly into your Mastra agent configuration.

Q: Does DappRadar (Web3 Dapp & NFT Analytics) support human-in-the-loop steps in Mastra AI?

You can set requireToolApproval on tools like listnftcollections. This pauses the workflow and waits for your confirmation before the agent processes the ranked NFT list.

Build resilient Web3 workflows using Mastra AI to monitor dapps and NFT collections automatically.

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Connect DappRadar (Web3 Dapp & NFT Analytics) MCP to Mastra AI

Create your Vinkius account to connect DappRadar (Web3 Dapp & NFT Analytics) to Mastra AI 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 Mastra AI

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Automate chain monitoring with Mastra AI

The `get_chain_stats` tool fetches aggregate transaction counts, active addresses, and volumes for specific blockchains. Your Mastra AI agents use this data to trigger automated alerts when chain activity spikes or drops. If the network call fails, the built-in workflow engine retries the request using exponential backoff. This ensures your tracking pipelines do not break during high-traffic blockchain events.

Filter and sort dapps dynamically

The `list_dapps` tool lets your agent fetch and filter decentralized applications by blockchain or category. Your agent uses this list to feed downstream evaluation steps in your automated data pipelines. Mastra handles the execution logic, passing the filtered outputs to other tasks in your graph. You can require human approval before your agent executes further actions based on this dapp data.

Track floor prices using this MCP Server

The `get_nft_collection` tool gets current floor prices, volumes, and metadata for specific NFT collections. Your agent monitors these metrics to track market movements without manual intervention. This MCP Server runs on a secure endpoint managed by Vinkius. Your workflows connect via streamable HTTP, keeping your data fetching logic decoupled from your core agent code.

Setup guide

Set up DappRadar (Web3 Dapp & NFT Analytics) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All DappRadar (Web3 Dapp & NFT Analytics) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "dappradar-web3-dapp-nft-analytics-mcp-client",
  servers: {
    "dappradar-web3-dapp-nft-analytics-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "DappRadar (Web3 Dapp & NFT Analytics) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to DappRadar (Web3 Dapp & NFT Analytics) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent DappRadar (Web3 Dapp & NFT Analytics) transactions"
);
console.log(result.text);

Get your connection token →

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.

Why Choose Vinkius

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Common questions about DappRadar (Web3 Dapp & NFT Analytics) MCP in Mastra AI

Install `@mastra/mcp` and instantiate a new client with your Vinkius server URL. Call `listTools()` on that client and pass the resulting tools directly into your Mastra agent configuration.

Yes. Mastra has a built-in workflow engine that handles automatic retries. If `get_dapp_metrics` hits a rate limit, the system pauses and retries the call according to your backoff settings.

You can set `requireToolApproval` on tools like `list_nft_collections`. This pauses the workflow and waits for your confirmation before the agent processes the ranked NFT list.

Yes, the client automatically detects and handles streamable HTTP or SSE transports. This ensures fast execution of your Web3 data fetching pipelines.

All requests flow through isolated sandboxes that process queries ephemerally. Your specific dapp queries and NFT collection identifiers are never stored or logged on the host platform.

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