How to Use the CardanoScan (Cardano Block Explorer API) MCP in Google ADK

Q: How do I expose CardanoScan (Cardano Block Explorer API) to Google ADK?

Initialize a McpToolset using your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent under the tools parameter. You can use the toolnames filter if you only want to expose specific queries like block data.

Feed on-chain data from the CardanoScan MCP Server directly into your Google ADK agents to cross-reference transactions with BigQuery.

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Connect CardanoScan (Cardano Block Explorer API) MCP to Google ADK

Create your Vinkius account to connect CardanoScan (Cardano 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 CardanoScan (Cardano Block Explorer API) with Google ADK

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Map Cardano Transactions with Google ADK

The `get_transaction_utxos` tool extracts precise input and output values for any Cardano hash. Your Gemini agent parses this raw accounting data and writes the structured outputs directly into your BigQuery tables for historical analysis. Cross-referencing token movements requires deep context. Your agent calls `list_asset_transactions` to pull thousands of transfer records, relying on Gemini's massive token window to find patterns across the entire native asset history.

Track Epochs and Blocks via MCP Server

The `get_latest_epoch` tool returns current network parameters and slot boundaries. When your enterprise agent schedules smart contract executions, it verifies the exact timing against `get_epoch` data to prevent boundary failures. Real-time monitoring pipelines use `get_latest_blocks` to track chain progression via the MCP Server. If an anomaly occurs, the agent drills down using `get_block` to inspect the specific block hash and logs the findings into Vertex AI.

Audit Stake Pools and Addresses

The `get_pool` tool retrieves pledge amounts, margins, and active stake for specific Cardano validators. You can build a Google Cloud pipeline that calls `list_pools` to evaluate network decentralization metrics daily. Address monitoring starts with the `get_address` tool. Your agent pulls the base balance and delegation status, then triggers `list_address_transactions` to build a complete profile of a wallet's activity over time.

Setup guide

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

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Common questions about CardanoScan (Cardano Block Explorer API) MCP in Google ADK

Initialize a `McpToolset` using your Vinkius HTTP endpoint. Pass this toolset into your `LlmAgent` under the `tools` parameter. You can use the `tool_names` filter if you only want to expose specific queries like block data.

Yes. Gemini's massive context window excels at this task. You dump the JSON output from `list_address_transactions` straight into the prompt and ask the agent to find specific behavioral patterns.

The agent acts as the bridge. It pulls the on-chain data using tools like `get_transaction` and then formats the results to match your BigQuery schema before inserting the records.

Vinkius manages the connection pool and throughput to the underlying provider. Your Google Cloud infrastructure just makes standard HTTP requests to the managed endpoint.

Hashes, wallet addresses, and pool IDs are strictly used to fetch public ledger data. The MCP server executes within a zero-trust architecture, meaning your query parameters are processed in memory and immediately discarded.

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