How to Use the DappRadar (Web3 Dapp & NFT Analytics) MCP in Google ADK

Q: How does Google ADK authenticate with the DappRadar (Web3 Dapp & NFT Analytics) server?

You pass your Vinkius endpoint token to the StreamableHttpServerParameters constructor. The ADK handles the HTTP transport, allowing your Gemini models to call tools like listchains securely.

Q: Can I combine DappRadar (Web3 Dapp & NFT Analytics) data with BigQuery using Google ADK?

Yes, your agent can call tools like getdappmetrics and write the resulting JSON directly to BigQuery. This lets you build automated data pipelines inside Google Cloud.

Q: How do I limit which DappRadar (Web3 Dapp & NFT Analytics) tools my Google ADK agent can access?

Use the toolnames filter when initializing your MCP toolset parameters. This restricts your agent to specific operations like tracking dapps while ignoring NFT metrics entirely.

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Connect DappRadar (Web3 Dapp & NFT Analytics) MCP to Google ADK

Create your Vinkius account to connect DappRadar (Web3 Dapp & NFT Analytics) to Google ADK 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 Google ADK

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Run deep chain analysis with Gemini and Google ADK

The `get_chain_stats` tool feeds aggregate blockchain ecosystem metrics directly into your Gemini long-context window. Your Google ADK agent parses months of transaction history and active wallet counts in a single prompt to spot macro market trends. We wire this MCP Server into your `McpToolset` config. The agent queries the live blockchain metrics and can immediately write those findings into your BigQuery tables for permanent storage.

Enterprise dapp tracking using this Google ADK MCP Server

The `list_dapps` tool lets your Gemini-powered agent search and filter thousands of decentralized applications by chain or category. Your agent uses this discovery tool to monitor new deployments and flag competitors as they emerge. You filter which tools are exposed using the `tool_names` parameter in your ADK setup. This keeps your agent focused on discovery without wasting context on unrelated NFT metrics.

Track NFT collections alongside Google Cloud data

The `get_nft_collection` tool fetches metadata and real-time statistics for any specific NFT collection. Your MCP client combines this on-chain data with your internal enterprise databases to build complete market intelligence reports. The toolset integrates with your existing Google Cloud IAM policies. Your agent safely queries floor prices and volume metrics while running inside your secure enterprise perimeter.

Setup guide

Set up DappRadar (Web3 Dapp & NFT Analytics) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with DappRadar (Web3 Dapp & NFT Analytics) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="DappRadar (Web3 Dapp & NFT Analytics)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DappRadar (Web3 Dapp & NFT Analytics) tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

You pass your Vinkius endpoint token to the `StreamableHttpServerParameters` constructor. The ADK handles the HTTP transport, allowing your Gemini models to call tools like `list_chains` securely.

Yes, your agent can call tools like `get_dapp_metrics` and write the resulting JSON directly to BigQuery. This lets you build automated data pipelines inside Google Cloud.

Use the `tool_names` filter when initializing your MCP toolset parameters. This restricts your agent to specific operations like tracking dapps while ignoring NFT metrics entirely.

Gemini's million-token context window easily digests the deep historical metrics returned by `get_nft_collection_metrics`. The agent analyzes the entire trend line without running out of memory.

No, the server only requests public Web3 metrics, dapp listings, and chain statistics. Your private cloud databases and Vertex AI training data remain completely isolated within your Google Cloud VPC.

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