How to Use the Aurorascan (Aurora Network L2 Block Explorer API) MCP in Google ADK

Q: How do I connect Aurorascan (Aurora Network L2 Block Explorer API) to Google ADK?

Install google-adk via pip. Create an McpToolset using your endpoint URL. Pass this toolset directly to your LlmAgent constructor.

Q: How do I filter tools from Aurorascan (Aurora Network L2 Block Explorer API) in Google ADK?

Use the optional toolnames parameter when defining your McpToolset. This lets you expose only specific tools like getlogs while hiding the rest.

Analyze massive Aurora L2 transaction logs using Google ADK and Gemini's deep context.

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Connect Aurorascan (Aurora Network L2 Block Explorer API) MCP to Google ADK

Create your Vinkius account to connect Aurorascan (Aurora Network L2 Block Explorer API) 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 Aurorascan (Aurora Network L2 Block Explorer API) with Google ADK

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Process Massive Event Logs

Analyzing blockchain events requires serious context windows. Gemini models can ingest thousands of events returned by `get_logs` in a single pass. Your agent reads the raw hex data and translates it into structured business logic. Moving this data into your enterprise infrastructure is simple. The agent pulls the logs and formats them for direct insertion into BigQuery, letting your data science team query Aurora L2 events alongside standard company metrics.

Track Block Rewards and Mining

Block production data tells you about network health and validator performance. Your agent uses `get_mined_blocks` to see exactly what a specific address has produced. It then checks `get_block_reward` to calculate the exact payout for those specific blocks. You configure the `McpToolset` with your Vinkius endpoint and pass it to the `LlmAgent`. Gemini takes these raw block statistics and generates automated reports on validator profitability, storing the results directly in Google Cloud.

Execute Native RPC Calls

Sometimes you need direct node access instead of indexed explorer data. This MCP Server exposes native methods like `proxy_get_transaction_receipt` and `proxy_get_storage_at`. The agent bypasses the explorer database and reads state directly from the node proxy. Gas calculations also happen through this direct channel. Your agent runs `proxy_estimate_gas` before attempting any cross-chain operations, ensuring your Vertex AI pipelines do not fail due to underfunded transaction fees.

Setup guide

Set up Aurorascan (Aurora Network L2 Block Explorer API) 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 Aurorascan (Aurora Network L2 Block Explorer API) 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="Aurorascan (Aurora Network L2 Block Explorer API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Aurorascan (Aurora Network L2 Block Explorer API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Aurorascan (Aurora Network L2 Block Explorer API) MCP in Google ADK

Install `google-adk` via pip. Create an `McpToolset` using your endpoint URL. Pass this toolset directly to your `LlmAgent` constructor.

The server outputs structured JSON. Your Gemini agent reads this output and can immediately write it to BigQuery tables using native ADK integrations.

Use the optional `tool_names` parameter when defining your `McpToolset`. This lets you expose only specific tools like `get_logs` while hiding the rest.

Yes. The large context window is perfect for analyzing massive arrays returned by tools like `get_tx_list_internal`.

Your agent sends Aurora L2 transaction logs and wallet balances through an ephemeral Vinkius sandbox. The server drops all state immediately after returning the JSON response.

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