How to Use the Biconomy (Account Abstraction) MCP in Google ADK

Q: How does the Google ADK handle tool filtering for Biconomy (Account Abstraction)?

You can use the optional toolnames filter when instantiating your McpToolset. This lets you restrict your agent to only using getexplorerstatus if you want to build a read-only monitoring dashboard.

Connect Gemini's 1M-token context to Biconomy (Account Abstraction) via this Google ADK compatible MCP Server.

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Connect Biconomy (Account Abstraction) MCP to Google ADK

Create your Vinkius account to connect Biconomy (Account Abstraction) 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 Biconomy (Account Abstraction) with Google ADK

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Perplexity

Parse complex transaction histories with Google ADK

`get_explorer_status` allows your Gemini models to analyze the real-time execution state of on-chain operations. By feeding this status data directly into Google ADK's long-context window, your agent can cross-reference transaction histories with BigQuery datasets instantly. This setup lets you build enterprise-grade monitoring agents that track thousands of account abstraction wallets simultaneously. Because Gemini handles massive token inputs, it can digest hours of transaction logs and pinpoint exactly where a bottleneck occurred.

Generate and sign gasless quotes automatically

`get_quote` fetches precise cost estimates for executing smart contract interactions without requiring users to hold native gas tokens. Your Google ADK agent calls this tool to retrieve the exact payload parameters needed for a valid account abstraction transaction. Once the quote is retrieved, your enterprise workflow can route the payload through Vertex AI for predictive risk scoring. This ensures that you only execute transactions that meet your company's compliance and financial safety thresholds.

Execute enterprise-grade transactions via MCP Server

`execute_supertx` takes your signed transaction payloads and broadcasts them directly to the network. Your Google ADK agent invokes this tool after verifying that the payload signatures match your organization's security policies. This direct execution path removes the need for complex middleware in your cloud architecture. You get a clean, direct line from Gemini's reasoning engine to the blockchain, backed by Google Cloud's secure infrastructure.

Setup guide

Set up Biconomy (Account Abstraction) 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 Biconomy (Account Abstraction) 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="Biconomy (Account Abstraction)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Biconomy (Account Abstraction) 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 Biconomy. 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 Biconomy (Account Abstraction) MCP in Google ADK

Install the SDK via pip, then initialize McpToolset using your Vinkius MCP HTTP endpoint. Pass this toolset directly to your LlmAgent instance to make the Biconomy tools available to your Gemini model.

Yes, your agent can query BigQuery for target addresses, use get_quote to calculate the required gas, and then call execute_supertx to complete the transaction. This enables fully automated, data-driven Web3 operations.

You can use the optional tool_names filter when instantiating your McpToolset. This lets you restrict your agent to only using get_explorer_status if you want to build a read-only monitoring dashboard.

Yes, the Google ADK integration supports both transport layers. For production deployments on Google Cloud, we recommend using the streamable HTTP transport managed by Vinkius for better scalability.

They are never stored. The server processes your transaction signatures in memory within a zero-trust V8 sandbox, passing them directly to the blockchain network and erasing the session data immediately after execution.

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