How to Use the IoTeX (IoTeX Block Explorer API) MCP in OpenAI Agents SDK

Q: How do I connect the IoTeX (IoTeX Block Explorer API) to my OpenAI Agents SDK?

Install openai-agents and initialize the server using MCPServerStreamableHttp with the Vinkius endpoint. Pass this instance to your Agent constructor in the mcpservers list to let your agent auto-discover the blockchain tools.

Q: Can my OpenAI Agents SDK system monitor live blocks using this IoTeX (IoTeX Block Explorer API)?

Yes, your agent can poll for chain updates using getrecentactions at regular intervals. This lets your OpenAI Agents SDK workflow react to new transactions on the IoTeX network as they happen.

Q: How does the IoTeX (IoTeX Block Explorer API) handle transaction validation failures in OpenAI Agents SDK?

When getaction returns an execution failure or an empty payload, your agent catches the response from the MCP Server through the SDK tracing dashboard. You can write custom guardrails in Python to handle these blockchain-level errors before they propagate.

Q: Does the IoTeX (IoTeX Block Explorer API) support token holder analysis?

Yes, the server exposes gettokenholders which returns the addresses holding any specific contract. Your agent can process this list to analyze token distribution patterns on the fly.

Build production-ready OpenAI Agents SDK workflows that query live IoTeX blockchain data with built-in execution guardrails.

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Connect IoTeX (IoTeX Block Explorer API) MCP to OpenAI Agents SDK

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Setup IoTeX (IoTeX Block Explorer API) with OpenAI Agents SDK

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Trace IoTeX account activity via OpenAI Agents SDK

The `get_account_actions` tool pulls raw transaction histories directly into your OpenAI Agents SDK runtime for real-time monitoring. Your agent uses this data to track smart contract executions and detect balance shifts without you writing custom polling scripts. By using `get_account`, your agent verifies wallet balances before routing actions through specialized node pipelines. This setup keeps your automated tasks safe from executing with insufficient gas on the IoTeX network.

Inspect blocks and actions with automated guardrails

The `get_action` tool retrieves specific transaction payloads so your agent can validate execution logs before triggering external state updates. This MCP Server integration allows your model to parse smart contract receipts during runtime runs. Your agent uses `get_block_by_hash` and `get_block_by_height` to confirm block confirmation depths before marking an order as paid. This prevents double-spending issues from slipping through your automated pipeline.

Analyze token distributions using this MCP Server

The `get_token_holders` tool extracts ownership lists directly into your OpenAI dashboard tracing logs for immediate auditing. This gives your agent the exact distribution data needed to flag whale wallets or suspicious transfers. When you pair this with `get_token`, your agent immediately grabs metadata for any asset on the chain. You get clean, structured data for your multi-agent handoff routines without dealing with complex web3 library configurations.

Setup guide

Set up IoTeX (IoTeX Block 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 IoTeX (IoTeX Block Explorer API) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives IoTeX (IoTeX Block 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 IoTeX (IoTeX Block 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="IoTeX (IoTeX Block Explorer API) Agent",
            instructions="You have access to IoTeX (IoTeX Block 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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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IoTeX. 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 IoTeX (IoTeX Block Explorer API) MCP in OpenAI Agents SDK

Install `openai-agents` and initialize the server using `MCPServerStreamableHttp` with the Vinkius endpoint. Pass this instance to your Agent constructor in the `mcp_servers` list to let your agent auto-discover the blockchain tools.

Yes, your agent can poll for chain updates using `get_recent_actions` at regular intervals. This lets your OpenAI Agents SDK workflow react to new transactions on the IoTeX network as they happen.

When `get_action` returns an execution failure or an empty payload, your agent catches the response from the MCP Server through the SDK tracing dashboard. You can write custom guardrails in Python to handle these blockchain-level errors before they propagate.

Yes, the server exposes `get_token_holders` which returns the addresses holding any specific contract. Your agent can process this list to analyze token distribution patterns on the fly.

Vinkius runs the MCP Server in an isolated V8 sandbox, meaning your queried IoTeX addresses and transaction hashes never touch external logs. Only the raw, public blockchain queries are sent to the explorer API, keeping your internal agent logic entirely private.

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