4,500+ servers built on MCP Fusion
Vinkius
Nodereal logo
Vinkius
Google ADK logo

How to Use the Nodereal MCP in Google ADK

Connect Gemini agents to live blockchain indexes using the Google ADK and Nodereal for enterprise-grade data pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Nodereal MCP on Cursor AI Code Editor MCP Client Nodereal MCP on Claude Desktop App MCP Integration Nodereal MCP on OpenAI Agents SDK MCP Compatible Nodereal MCP on Visual Studio Code MCP Extension Client Nodereal MCP on GitHub Copilot AI Agent MCP Integration Nodereal MCP on Google Gemini AI MCP Integration Nodereal MCP on Lovable AI Development MCP Client Nodereal MCP on Mistral AI Agents MCP Compatible Nodereal MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Google ADK

Connect Nodereal MCP to Google ADK

Create your Vinkius account to connect Nodereal 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.

GDPR Free for Subscribers

Deep EVM Log Filtering

`eth_get_logs` queries historical smart contract events using standard JSON-RPC filter parameters. Your Gemini agent parses these logs alongside enterprise data sources in Google Cloud. By feeding raw log outputs directly into Gemini's 1M+ token context window, the agent analyzes complex contract histories without running out of memory. The agent uses `eth_get_transaction_receipt` to verify the execution status of individual transactions. Because the Google ADK connects directly to BigQuery, your agent can write these event logs to a warehouse for long-term analytics. This setup replaces manual ETL pipelines with an autonomous agent loop.

Aptos Move Module Inspection

`aptos_get_account_modules` retrieves the raw Move bytecode deployed on an Aptos account. Your enterprise agent reads these modules to verify contract interfaces before initiating interactions. By pairing this with `aptos_get_account_resources`, the agent builds a complete picture of an account's storage state. This capability lets your agent audit deployed code on the fly. When a user asks to interact with a new Aptos protocol, the agent inspects the modules first. This prevents interactions with unverified or modified smart contracts on mainnet.

Enterprise Token Indexing via Google ADK

`nr_get_token_balance_20` returns the ERC20 balance of any address across supported EVM chains. The Google ADK exposes this MCP server to Gemini, allowing the model to cross-reference on-chain assets with enterprise ledger databases. Your agent gets fast access to token distribution data without running local indexing nodes. For high-volume operations, the agent calls `nr_get_transaction_receipts_by_block_number` to process whole blocks at once. It can then run `nr_get_nft_holders` to map out community ownership profiles. The ADK handles the transport layer, letting you restrict tool access to specific endpoints if needed.

Setup guide

Set up Nodereal 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Nodereal 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="Nodereal_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Nodereal tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NodeReal. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Nodereal MCP in Google ADK

Use the toolset class with the HTTP transport parameters pointing to your Vinkius endpoint. Pass the toolset object directly into the tools list of your agent instance. This registers the Nodereal tools so Gemini can invoke them during conversations.
Yes. The toolset class supports an optional tool name filter. You can restrict exposure to read-only endpoints like balance checks and block access to write operations to secure your environment.
Gemini models handle up to 2 million tokens, making it easy to pass massive payloads from block receipts directly into the prompt. The ADK feeds the raw JSON output from the tool straight to the model without truncation.
Yes. The server bundles tools like EVM block queries and Aptos ledger info together. Your Google ADK agent uses its reasoning capabilities to select the correct tool based on the blockchain network specified in the user's query.
This server only processes public blockchain data, such as contract logs, block headers, and account resources. Vinkius isolates the runtime in a zero-trust sandbox, ensuring that your API keys and query payloads are never exposed to external networks or stored persistently.

Start using the Nodereal MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 24 tools

We've already built the connector for Nodereal. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 24 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.