How to Use the Bobascan (Boba L2 Network Block Explorer API) MCP in Google ADK

Q: How do Gemini models use the proxy tools in this server?

Gemini can construct raw EVM calls using proxycall and read contract storage using proxygetcode. The model reads the tool definitions and executes them when standard API endpoints do not cover a specific query.

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Connect Bobascan (Boba L2 Network Block Explorer API) MCP to Google ADK

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

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Analyze Massive Transaction Histories with Gemini

`get_token_tx` and `get_tx_list` pull transaction histories directly into Gemini's million-token context window. Your agent can analyze wallet behavior over months in a single turn without hitting memory limits. No more truncating data or pagination headaches. Let the agent fetch the entire history, parse it with `get_logs`, and generate structured reports directly inside your Google Cloud environment.

Google ADK: Connect BigQuery with Live Boba L2 State

`get_ether_balance` and `proxy_get_code` connect your offline BigQuery data warehouses with live blockchain state. Your Google ADK agent can check historic database records, then verify if the online state matches your records. This bridges the gap between enterprise databases and active smart contracts. The agent runs these checks using the MCP Server, keeping your external data pipelines synced with the Boba L2 network.

Estimate Gas and Monitor Block Times in Real-Time

`get_block_countdown` and `proxy_gas_price` keep your enterprise automation pipelines running smoothly. Your agent can check transaction windows and estimate current gas costs before submitting batches. By calling `proxy_estimate_gas`, your agent calculates the exact gas needed for complex contract executions. This prevents stuck transactions and saves money on execution fees.

Setup guide

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

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Common questions about Bobascan (Boba L2 Network Block Explorer API) MCP in Google ADK

Yes, you can use the tool names filter in the toolset configuration. This lets you expose only specific tools like `get_ether_balance` while hiding administrative or heavy proxy tools.

The framework manages connection timeouts gracefully. When fetching heavy logs through `get_logs`, the ADK handles the HTTP stream and feeds the structured JSON directly into Gemini's context.

Yes, the toolset supports both local stdio and hosted HTTP transports. For production, pointing the ADK to a Vinkius-hosted MCP Server is the most reliable way to handle scale.

Gemini can construct raw EVM calls using `proxy_call` and read contract storage using `proxy_get_code`. The model reads the tool definitions and executes them when standard API endpoints do not cover a specific query.

Yes. Vinkius runs the MCP Server in an ephemeral sandbox, meaning no transaction data or wallet addresses are logged or stored. The ADK only passes queries like transaction hashes and block numbers over secure HTTPS.

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