How to Use the Blastscan (Blast Network Explorer) MCP in Google ADK

Q: How do I connect Blastscan (Blast Network Explorer) to my Google ADK agent?

Install the google-adk package and configure McpToolset with your Vinkius HTTP URL to load the MCP server. Then, pass that toolset into your LlmAgent configuration to let Gemini start querying the Blast network.

Q: Can I use Blastscan (Blast Network Explorer) to feed BigQuery datasets via Google ADK?

Your agent can pull transaction logs using getlogs and write them directly into BigQuery. Gemini's long-context capabilities make it easy to format thousands of log events in a single run.

Q: How do I restrict the tools my Google ADK agent can access from Blastscan (Blast Network Explorer)?

Use the optional toolnames filter when defining your McpToolset in Python. This lets you limit the agent to specific tools like getetherbalancemulti while hiding the rest.

Q: Which transport protocol should I use for this server in Google Cloud?

We recommend using the HTTP transport via StreamableHttpServerParameters when deploying your Google ADK agent to cloud environments like Cloud Run. It provides a stable, serverless connection to your MCP server on Vinkius without managing persistent terminal sessions.

Analyze Blast network metrics and smart contracts directly inside your Google ADK enterprise agent.

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Connect Blastscan (Blast Network Explorer) MCP to Google ADK

Create your Vinkius account to connect Blastscan (Blast Network Explorer) 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 Blastscan (Blast Network Explorer) with Google ADK

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Query Blast blocks using Google ADK and Gemini

The `get_block_number_by_time` and `get_block_reward` tools let your Gemini-powered enterprise agents map block data directly to timestamped events on the Blast network. By feeding this data into Google ADK, your agent cross-references on-chain events with off-chain datasets stored in BigQuery. You initialize the toolset using streamable HTTP parameters and pass it directly to your `LlmAgent`. Gemini's massive context window lets your agent ingest hundreds of block rewards at once to spot complex network trends.

Analyze ERC721 transfers with an MCP Server on GCP

This MCP Server exposes the `get_erc721_transfers` and `get_erc1155_transfers` tools to let your Google ADK agent track NFT movements across the Blast network. Enterprise agents pull massive transfer histories and process them inside Vertex AI for predictive modeling. You can use the `tool_names` filter in Google ADK to expose only these specific token transfer tools. This keeps your agent focused and prevents it from wasting tokens on unused tools.

Check Ether supply metrics directly from your Gemini agent

The `get_eth_supply` and `get_eth_price` tools provide real-time economic data from the Blast network directly to your Google ADK workflow. Your enterprise agent monitors these metrics to trigger automated alerts or update financial dashboards in Google Cloud. Because Google ADK supports both Stdio and HTTP transports, you can host your agent on Cloud Run and connect to the Vinkius endpoint with a single environment variable. This keeps your financial tracking agent online 24/7.

Setup guide

Set up Blastscan (Blast Network Explorer) 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 Blastscan (Blast Network Explorer) 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="Blastscan (Blast Network Explorer)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Blastscan (Blast Network Explorer) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Blastscan (Blast Network Explorer) MCP in Google ADK

Install the `google-adk` package and configure `McpToolset` with your Vinkius HTTP URL to load the MCP server. Then, pass that toolset into your `LlmAgent` configuration to let Gemini start querying the Blast network.

Your agent can pull transaction logs using `get_logs` and write them directly into BigQuery. Gemini's long-context capabilities make it easy to format thousands of log events in a single run.

Use the optional `tool_names` filter when defining your `McpToolset` in Python. This lets you limit the agent to specific tools like `get_ether_balance_multi` while hiding the rest.

We recommend using the HTTP transport via `StreamableHttpServerParameters` when deploying your Google ADK agent to cloud environments like Cloud Run. It provides a stable, serverless connection to your MCP server on Vinkius without managing persistent terminal sessions.

The server executes inside an isolated V8 sandbox on Vinkius, meaning your contract ABIs and log queries are never cached or stored. Only the raw, public blockchain data requested by `get_contract_abi` is processed, keeping your enterprise cloud environment clean.

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