How to Use the Lineascan MCP in Google ADK

Q: Can I restrict tools in Google ADK for Lineascan?

Yes, use the toolnames filter. This allows you to limit your Google ADK agent to only the specific endpoints you want it to access.

Connect your Google ADK agents to Linea data. Use real-time blockchain insights to feed your BigQuery pipelines and enterprise workflows.

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Connect Lineascan MCP to Google ADK

Create your Vinkius account to connect Lineascan 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 Lineascan with Google ADK

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Enterprise Blockchain Data Access

Your Google ADK agent queries `get_balance` and `balance_multi` to track assets across your user base. It brings on-chain state into your Google Cloud environment. Integrate this data into your existing BigQuery workflows. You get clean, structured responses from the Linea network for every query.

Event Log Monitoring for Agents

Use `get_logs` to filter specific event signatures across your deployed contracts. Your agent acts on these triggers to update your internal dashboards. Tracking specific transfers becomes simple with `token_tx` and `token_nft_tx` endpoints. You define the logic, the server provides the data.

Direct Network Tooling

Your agent executes `eth_call` to read state from smart contracts without waiting for block confirmation. It provides the speed necessary for high-performance agentic systems. Monitor chain health using `eth_block_number` and `eth_supply`. These tools give your Google ADK agent a clear view of current network conditions.

Setup guide

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

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Common questions about Lineascan MCP in Google ADK

Use the McpToolset class in your Google ADK setup. Point the server parameters to your Vinkius endpoint to start querying the chain.

Yes, use the tool_names filter. This allows you to limit your Google ADK agent to only the specific endpoints you want it to access.

You can write agent logic that takes tool output and pipes it into your BigQuery tables. The MCP Server acts as the data source for your pipeline.

Vinkius hosts the server in a managed sandbox to ensure uptime. It maintains a consistent connection for your long-running agent workflows.

The server only reads public on-chain data like transaction hashes and block rewards. It operates within a zero-trust environment provided by Vinkius.

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