How to Use the Etherscan MCP in Google ADK

Q: Does this Etherscan server support large data loads in Google ADK?

The server handles up to 10,000 records via gettxlist. This is sufficient for most agent-driven analysis tasks in your Google ADK environment.

Integrate blockchain intelligence into your Google ADK pipelines. Directly query Etherscan for enterprise-grade agent analysis.

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Connect Etherscan MCP to Google ADK

Create your Vinkius account to connect Etherscan 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 Etherscan with Google ADK

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Chain analytics for Google ADK agents

Access historical transaction data through `get_tx_list_internal` or `get_token_tx`. Your Google ADK agents can now pull chain history to inform their decision-making process. This MCP Server bridges the gap between your cloud infrastructure and the Ethereum network. It provides clean data access for your complex agent workflows.

Native tool integration for Google ADK

Use the `McpToolset` to map blockchain data to your agents. You can filter tool access or expose all 19 endpoints for full chain visibility. This setup allows your agent to query `get_block_number` or `get_logs` as if they were local functions. It fits right into your existing Google Cloud architecture.

Automated contract verification for Google ADK

Deploy agents that inspect contract source code automatically. Use `verify_source_code` to ensure that contract deployments match their published counterparts. This gives your Google ADK agent the power to validate on-chain activity. It replaces manual checks with reliable, machine-readable responses.

Setup guide

Set up Etherscan 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 Etherscan 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="Etherscan_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Etherscan tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Etherscan. 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 Etherscan MCP in Google ADK

The server handles up to 10,000 records via `get_tx_list`. This is sufficient for most agent-driven analysis tasks in your Google ADK environment.

You can pull ABI and source code data using our tools. This allows your Google ADK agent to perform automated debugging and logic verification.

You provide your API key to the server environment. The MCP protocol handles the transport of data securely between the server and your Google ADK agent.

The tool will return an error object. Your agent logic should handle these exceptions to ensure your pipeline remains stable.

Only the specific query parameters you send are shared with the provider. The server does not maintain logs of your private agent activity.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python