How to Use the Blockchair (Universal Blockchain Search Engine & API) MCP in Google ADK

Q: Can I combine Blockchair (Universal Blockchain Search Engine & API) data with BigQuery using Google ADK?

Yes. Your agent can pull transaction data via gettransaction and immediately write those records to a BigQuery table using Google Cloud SDKs.

Q: Can I broadcast transactions securely with this setup?

Yes, the pushtransaction tool accepts hex-encoded payloads. Your agent can broadcast transactions to the mainnet after verifying them against your enterprise rules.

Connect multi-chain queries to your BigQuery datasets using Gemini and the Google ADK.

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Connect Blockchair (Universal Blockchain Search Engine & API) MCP to Google ADK

Create your Vinkius account to connect Blockchair (Universal Blockchain Search Engine & 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 Blockchair (Universal Blockchain Search Engine & API) with Google ADK

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Feed Blockchain Stats to Google ADK

The `get_blockchain_stats` tool retrieves general network metrics like difficulty and transaction counts. Your Google ADK agent feeds these metrics directly into Gemini's long-context window to analyze market trends. This integration allows you to correlate live ledger activity with your private BigQuery tables. The MCP server provides the live bridge, letting your enterprise agent run complex analytical pipelines.

Analyze Large-Scale Transaction History

The `filter_transactions` and `get_transaction` tools retrieve detailed transaction histories across Ethereum and Bitcoin. Your agent parses thousands of transaction records in a single run using Gemini's massive context window. This setup avoids the need for external ETL pipelines. The Google ADK agent pulls the raw data directly from the ledger and structures it for immediate database insertion using this MCP server.

Track ERC-20 Tokens and Smart Contracts

The `get_erc20_token_address` and `get_contract_calls` tools inspect specific token balances and internal contract transactions. Your agent tracks these balances to monitor high-value institutional wallets. You filter which tools are exposed using the ADK's tool_names parameter. This ensures your enterprise agent only accesses the specific contract-reading tools it needs.

Setup guide

Set up Blockchair (Universal Blockchain Search Engine & 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 Blockchair (Universal Blockchain Search Engine & 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="Blockchair (Universal Blockchain Search Engine & API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Blockchair (Universal Blockchain Search Engine & API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Blockchair (Universal Blockchain Search Engine & API) MCP in Google ADK

Install google-adk and configure McpToolset with your Vinkius HTTP URL. Pass this toolset directly into your LlmAgent to expose the blockchain query tools.

Yes. Your agent can pull transaction data via `get_transaction` and immediately write those records to a BigQuery table using Google Cloud SDKs.

Gemini's million-token context easily digests large JSON arrays returned by `filter_blocks` and `filter_transactions`, allowing deep analysis of historical blocks.

Yes, the `push_transaction` tool accepts hex-encoded payloads. Your agent can broadcast transactions to the mainnet after verifying them against your enterprise rules.

Every query to this MCP server executes inside an isolated, ephemeral V8 container. No address searches or raw transaction hex codes are stored or logged on Vinkius servers.

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