How to Use the Metisscan (Metis L2 Network Explorer) MCP in Google ADK

Q: Is the Google ADK compatible with Metisscan (Metis L2 Network Explorer)?

Yes, you use the McpToolset class to integrate the explorer. It supports both Stdio and HTTP transports for your Google Cloud environment.

Q: Can I limit which Metisscan (Metis L2 Network Explorer) tools my Google ADK agent sees?

You can pass a toolnames filter to the McpToolset. This allows you to restrict the agent to a subset of the 26 available tools for better control.

Connect Google ADK to Metis L2. Query the chain, analyze contracts, and feed data into your enterprise reasoning engine.

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Connect Metisscan (Metis L2 Network Explorer) MCP to Google ADK

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Setup Metisscan (Metis L2 Network Explorer) with Google ADK

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Google ADK network data access

Your agents can now pull live block details and transaction receipts using `eth_get_block_by_number`. It connects your Google Cloud infrastructure directly to the Metis L2 ledger. This toolset lets your agent query the network as easily as a database. It bridges the gap between your cloud-hosted reasoning models and on-chain reality.

Smart contract verification

Use `get_smart_contract_verification_config` to check if a contract is verified on the network. Your agent uses this to filter out unverified code before proceeding with an audit or analysis. It provides the confidence needed for enterprise-grade automation. You get the metadata required to understand the contract's structure without manual lookup.

Token and transaction tracking

Monitor entire token ecosystems with `get_token_holders` and `list_transactions`. Your agent can track liquidity or movement patterns across the network in real-time. It outputs clean data that fits perfectly into your existing BigQuery workflows. Your agents spend less time searching for data and more time acting on it.

Setup guide

Set up Metisscan (Metis L2 Network Explorer) 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 Metisscan (Metis L2 Network Explorer) 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="Metisscan (Metis L2 Network Explorer)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Metisscan (Metis L2 Network Explorer) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Metisscan (Metis L2 Network Explorer) MCP in Google ADK

Yes, you use the `McpToolset` class to integrate the explorer. It supports both Stdio and HTTP transports for your Google Cloud environment.

You can pass a tool_names filter to the `McpToolset`. This allows you to restrict the agent to a subset of the 26 available tools for better control.

The Gemini models process the tool outputs within their 1M+ token window. You can feed large volumes of transaction history into the prompt for deep analysis.

The tools return the latest indexed state available. If you need absolute real-time precision, you should cross-reference the output with a direct RPC node.

All data fetched is public chain information, so encryption at rest isn't applicable. The connection to the server is handled via secure transport.

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