How to Use the Aptoscan (Aptos Blockchain Explorer API) MCP in OpenAI Agents SDK

Q: How do I set up the Aptoscan (Aptos Blockchain Explorer API) with the OpenAI Agents SDK?

First, pip install openai-agents. Then, create an MCPServerStreamableHttp instance with your Vinkius URL. Pass that server into the Agent constructor in the mcpservers list, and the tools will be discovered automatically.

Q: Which Aptoscan tools are best for a financial monitoring agent using the OpenAI Agents SDK?

For monitoring, you'll want getaccounttransactions to see activity, getaccountbalance to check funds, and getaccounttokens to inventory assets. The SDK's guardrails help ensure your agent queries this financial data safely.

Q: What's the best way to improve performance when using multiple MCP servers?

When you initialize the MCPServerStreamableHttp object for the Aptoscan server, set cacheToolsList=True. This prevents the SDK from refetching the tool definitions on every run, which speeds things up considerably.

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Connect Aptoscan (Aptos Blockchain Explorer API) MCP to OpenAI Agents SDK

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Setup Aptoscan (Aptos Blockchain Explorer API) with OpenAI Agents SDK

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Ship Aptos Agents with Guardrails

Your agent can query the Aptos blockchain, but it won't go rogue. The OpenAI Agents SDK provides built-in guardrails that validate every action before it runs. If your agent tries to call `get_account_balance` with a bad address, the SDK can catch it before the request ever leaves your system. This isn't a prototype tool. You're building a system that can be trusted in production. Hand off tasks between specialized agents—one to watch for transactions with `get_account_transactions`, another to analyze them with `get_transaction_by_hash`. You get full visibility and control.

Zero-Config Tool Discovery

Point the SDK at the Vinkius endpoint. That's it. All ten Aptoscan tools are automatically discovered and made available to your agent. There's no manual mapping or boilerplate code to write. This immediate access lets your agent work with the full breadth of the Aptoscan API from the start. It can find account resources with `get_account_resources` or pull token metadata using `get_token_data`. Set `cacheToolsList=True` in the constructor, and it won't even have to ask for the tool list twice.

Debug with Full Tracing

Figuring out why an agent did something is usually a nightmare. Not here. Every call your agent makes to the Aptoscan MCP Server is tracked in the OpenAI dashboard. You get a clear, step-by-step trace of its reasoning and actions. If a call to `get_block_by_height` returns an unexpected result, you can see the exact input your agent provided and the raw output it received. This makes debugging complex agent interactions simple. You can pinpoint the exact moment a decision was made and fix the logic at its source.

Setup guide

Set up Aptoscan (Aptos Blockchain Explorer API) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Aptoscan (Aptos Blockchain Explorer API) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Aptoscan (Aptos Blockchain Explorer API) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Aptoscan (Aptos Blockchain Explorer API) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Aptoscan (Aptos Blockchain Explorer API) Agent",
            instructions="You have access to Aptoscan (Aptos Blockchain Explorer API) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Aptoscan (Aptos Blockchain Explorer API) MCP in OpenAI Agents SDK

First, `pip install openai-agents`. Then, create an `MCPServerStreamableHttp` instance with your Vinkius URL. Pass that server into the `Agent` constructor in the `mcp_servers` list, and the tools will be discovered automatically.

For monitoring, you'll want `get_account_transactions` to see activity, `get_account_balance` to check funds, and `get_account_tokens` to inventory assets. The SDK's guardrails help ensure your agent queries this financial data safely.

Yes. The OpenAI Agents SDK has built-in tracing. Every tool call, including those to the Aptoscan MCP Server, is logged and viewable in your OpenAI dashboard, showing you the agent's inputs and outputs.

When you initialize the `MCPServerStreamableHttp` object for the Aptoscan server, set `cacheToolsList=True`. This prevents the SDK from refetching the tool definitions on every run, which speeds things up considerably.

Your agent only handles public Aptos blockchain data like account addresses and transaction hashes. The Vinkius MCP Server runs in a zero-trust, ephemeral sandbox. Each request is isolated and nothing is stored after your call completes.

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