How to Use the AntChain MCP in OpenAI Agents SDK

Directly manage smart contracts and audit AntChain activity inside your OpenAI Agents SDK production pipeline.

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Connect AntChain MCP to OpenAI Agents SDK

Create your Vinkius account to connect AntChain to OpenAI Agents SDK 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 AntChain with OpenAI Agents SDK

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Deploy and run smart contracts

Push bytecode to the ledger using `deploy_contract` to get your application logic live. Your agent handles the hex data and ABI registration automatically. Execute specific methods on existing contracts via `invoke_contract`. The SDK guardrails catch issues before they hit the network, keeping your production agent system stable.

Audit blockchain state

Pull account balances and metadata with `query_account_balance` to verify funds before triggering transactions. This prevents failed calls to your AntChain infrastructure. Use `query_transaction` to confirm finality for high-value operations. Your agent verifies the gas usage and execution results immediately after the call finishes.

Monitor network health

Check the current status of the blockchain through `query_network_info`. Your agent keeps tabs on uptime without manual intervention. Scan incoming traffic with `query_latest_transactions` to track activity. This MCP Server gives your agent a window into real-time ledger operations.

Setup guide

Set up AntChain 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 AntChain tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AntChain 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="AntChain Agent",
            instructions="You have access to AntChain tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AntChain. 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 AntChain MCP in OpenAI Agents SDK

Yes. You just instantiate the MCPServerStreamableHttp class with your endpoint and add it to your agent constructor.

Use the built-in guardrails provided by the SDK to validate tool inputs. These checks run before the agent sends anything to the blockchain.

Absolutely. Set cacheToolsList to True and the framework maps all server functions into your agent's action space automatically.

Vinkius handles the underlying authentication. You only need to provide the provided endpoint token to your connection string.

Your bytecode and transaction data are encrypted in transit and handled by our isolated sandbox. Only your authenticated agent session can access these specific records.

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