How to Use the Aptoscan (Aptos Blockchain Explorer API) MCP in Google ADK

Q: Can I analyze a large number of transactions from the Aptoscan (Aptos Blockchain Explorer API) with a Gemini model in Google ADK?

Yes. Use the getaccounttransactions tool to fetch the list. Gemini's long-context models are ideal for processing the entire JSON output at once, allowing your agent to find patterns or summarize activity without chunking the data.

Q: How do I restrict which Aptoscan (Aptos Blockchain Explorer API) tools my Google ADK agent can use?

When you create the McpToolset for the Aptoscan server, use the toolnames parameter. Pass a list of the only tool names you want the agent to have access to, like 'gettransactionbyhash', 'getblockbyversion'.

Q: What's the setup process for this MCP server in Google ADK?

Just pip install google-adk and then instantiate McpToolset with the Vinkius server URL. Pass this toolset object in the tools list when you create your LlmAgent.

Connect your Google Cloud data to the Aptos blockchain using Google ADK and Gemini's long-context models.

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Connect Aptoscan (Aptos Blockchain Explorer API) MCP to Google ADK

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Setup Aptoscan (Aptos Blockchain Explorer API) with Google ADK

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Correlate On-Chain and Off-Chain Data

Your data is in BigQuery, but the events are on the Aptos chain. Bridge the gap. An ADK agent can pull a list of customer addresses from BigQuery, then loop through them using `get_account_balance` and `get_account_tokens` from this server. This lets you build a unified view of your users. You can enrich your existing customer profiles with on-chain activity, or trigger Google Cloud workflows based on transactions found with `get_account_transactions`.

Analyze Blockchain History with Gemini

Use Gemini's massive context window to understand the big picture. Your agent can fetch a long transaction history for an account with `get_account_transactions` and feed the entire list into the model in a single prompt. Instead of just looking at one transaction, your agent can reason about the entire history. It can identify patterns, calculate trends, or summarize thousands of events from the Aptos blockchain without needing a complex data pipeline. This is what long-context reasoning is for.

Manage Aptoscan MCP Server Tools

The `McpToolset` class gives your Google ADK agent access to the Aptos blockchain. By default, it exposes all ten tools, from `get_block_by_height` to `get_transaction_by_hash`. It's a quick way to get started. For more control, you can use the `tool_names` filter. This lets you create specialized agents with limited permissions. For example, build a read-only agent that can only call `get_token_data`, ensuring it can't access more sensitive account information.

Setup guide

Set up Aptoscan (Aptos Blockchain 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 Aptoscan (Aptos Blockchain 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="Aptoscan (Aptos Blockchain Explorer API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Aptoscan (Aptos Blockchain Explorer API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Aptoscan (Aptos Blockchain Explorer API) MCP in Google ADK

Build an agent that queries BigQuery for account addresses first. Then, have the agent use the Aptoscan tools like `get_account_balance` to fetch on-chain data for those addresses. The results can be used in the agent's next step or even written back to another table.

Yes. Use the `get_account_transactions` tool to fetch the list. Gemini's long-context models are ideal for processing the entire JSON output at once, allowing your agent to find patterns or summarize activity without chunking the data.

When you create the `McpToolset` for the Aptoscan server, use the `tool_names` parameter. Pass a list of the only tool names you want the agent to have access to, like `['get_transaction_by_hash', 'get_block_by_version']`.

Just `pip install google-adk` and then instantiate `McpToolset` with the Vinkius server URL. Pass this toolset object in the `tools` list when you create your `LlmAgent`.

This server only processes public Aptos blockchain information—account balances, transaction details, and token metadata. Your connection is secured by Vinkius's infrastructure, which isolates every request in its own short-lived, sandboxed environment. Your Google Cloud data never leaves your control.

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