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How to Use the Blockchain.com Data MCP in Google ADK

Feed live Bitcoin ledger data directly into your Gemini long-context models via this MCP Server.

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Google ADK

Connect Blockchain.com Data MCP to Google ADK

Create your Vinkius account to connect Blockchain.com Data 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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Connect Google ADK Agents to Live Bitcoin Blocks

Stop copying block data into text files. This MCP Server lets your Gemini agents query live block details directly using `get_block` and `get_latest_block`. Your agent can pull hundreds of transactions from a single block and analyze them using Gemini's massive context window. This makes tracking large-scale coin movements fast and simple.

Correlate Blockchain Trends with BigQuery

Run deep on-chain analysis by combining live stats with your warehouse data. Use `get_chart` to pull historical market prices and transaction counts directly into your Google ADK agent. The agent can cross-reference these live charts with your internal BigQuery datasets. This helps you build agents that spot market anomalies the second they happen.

Track Unconfirmed Transaction Batches

Keep an eye on pending transfers using this MCP connection. Your agent can call `list_unconfirmed_transactions` to pull the current queue of unbroadcasted transactions. Combine this with `get_transaction` to audit specific payments. This setup gives your enterprise agents the exact data they need to verify incoming client deposits.

Setup guide

Set up Blockchain.com Data 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Blockchain.com Data 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="Blockchain.com Data_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Blockchain.com Data tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Blockchain.com. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Blockchain.com Data MCP in Google ADK

Instantiate the MCP toolset with your HTTP URL. Then, pass that toolset directly into your `LlmAgent` tool list to expose the Bitcoin tools.
Yes. Use the `tool_names` filter in the toolset parameters to restrict access, ensuring your agent only calls `get_ticker` instead of block-level tools.
It saves you from writing custom API clients and handling auth. The ADK dynamically reads the tool schemas, letting Gemini call them natively.
Yes. Your agent can pull historical data using `get_chart` and process the massive JSON payloads within Gemini's large context window.
Your queries are isolated in ephemeral sandboxes. Address lookups and transaction hash requests are never cached or exposed to external networks.

Start using the Blockchain.com Data MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Blockchain.com Data. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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