How to Use the Biconomy (Account Abstraction) MCP in Mastra AI

Q: How do I handle Biconomy (Account Abstraction) gas failures in Mastra AI?

Use Mastra AI's conditional branching after calling getquote. If the returned gas estimate is too high, route the workflow to a delay step and retry later.

Q: Can I require human approval before running executesupertx in a Mastra AI and Biconomy (Account Abstraction) workflow?

Yes. Set requireToolApproval on the agent's tool configuration to pause execution until the user signs the payload and approves the transaction.

Q: How do Mastra AI retries work with this Biconomy (Account Abstraction) MCP Server?

If getexplorerstatus fails due to network issues, Mastra AI automatically retries the tool call using exponential backoff until it gets a response from the Biconomy network.

Build resilient multi-chain workflows using Mastra AI and Biconomy (Account Abstraction) with automatic retry logic.

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Connect Biconomy (Account Abstraction) MCP to Mastra AI

Create your Vinkius account to connect Biconomy (Account Abstraction) to Mastra AI 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 Mastra AI

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Automate gas quotes inside Mastra AI workflows

The `get_quote` tool fetches gas estimates and transaction routing details inside your Mastra AI agent steps. If gas prices exceed your pre-defined threshold, the workflow engine triggers a conditional branch to hold the transaction or alert the user. This integration lets you build defensive Web3 agents using our MCP server. The agent automatically compares Biconomy quotes across different paths before proceeding to execution.

Run `execute_supertx` with Mastra AI approval steps

The `execute_supertx` tool processes signed transaction payloads once your Mastra AI agent verifies all safety conditions. You can configure a `requireToolApproval` step to pause the workflow until a human signs off on the final transaction payload. Once approved, Mastra AI passes the signed payload to the Biconomy bundler. This prevents unauthorized on-chain actions while maintaining automated execution.

Fail-safe status checks via Mastra AI workflows

The `get_explorer_status` tool queries the status of your submitted Supertransaction using Mastra AI's built-in retry mechanics. If a RPC node fails, the workflow uses exponential backoff to check the status again without crashing the agent. This setup guarantees you never lose track of a transaction. The workflow completes only when the Biconomy bundler confirms the transaction is on-chain.

Setup guide

Set up Biconomy (Account Abstraction) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Biconomy (Account Abstraction) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "biconomy-account-abstraction-mcp-client",
  servers: {
    "biconomy-account-abstraction-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Biconomy (Account Abstraction) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Biconomy (Account Abstraction) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Biconomy (Account Abstraction) transactions"
);
console.log(result.text);

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Common questions about Biconomy (Account Abstraction) MCP in Mastra AI

Use Mastra AI's conditional branching after calling `get_quote`. If the returned gas estimate is too high, route the workflow to a delay step and retry later.

Yes. Set `requireToolApproval` on the agent's tool configuration to pause execution until the user signs the payload and approves the transaction.

If `get_explorer_status` fails due to network issues, Mastra AI automatically retries the tool call using exponential backoff until it gets a response from the Biconomy network.

Yes, Mastra AI automatically negotiates the Streamable HTTP or SSE transport when you register the server URL in your agent configuration.

It only processes the raw unsigned quotes, signed transaction payloads, and transaction hashes. No private keys or seed phrases ever touch the server, and all execution runs in a secure, zero-trust sandbox.

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