How to Use the Alchemy MCP in OpenAI Agents SDK

Q: How do I connect the Alchemy MCP Server to the OpenAI Agents SDK?

Install the package using pip install openai-agents. Initialize the connection with MCPServerStreamableHttp and pass the URL parameters. Wrap it in an async context manager and hand it to your Agent constructor.

Q: Can the OpenAI Agents SDK cache Alchemy tool definitions?

Yes, setting cacheToolsList=True prevents the agent from fetching the schema on every run. This cuts down initialization time when you deploy to production.

Connect Alchemy to the OpenAI Agents SDK to build production-ready Ethereum auditing agents.

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Connect Alchemy MCP to OpenAI Agents SDK

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

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Audit Ethereum wallets via MCP Server

The `get_wallet_balance` tool pulls exact wei balances directly from the blockchain. You pass an address, and the OpenAI Agents SDK validates the input before executing the call. Fetching token data works the same way. Your agent uses `get_token_balances` to list ERC-20 holdings, while guardrails prevent infinite loops or malformed requests during execution.

Track NFTs and transaction receipts

Calling `get_owned_nfts` returns the complete list of non-fungible tokens tied to a specific address. Tracing this MCP action in the OpenAI dashboard shows exactly how long the node took to respond. Digging into specific transfers requires the `get_transaction_receipt` tool. Handoffs between specialized agents mean one agent can monitor the mempool while another parses the returned hash data.

Monitor node health and block numbers

The `get_latest_block_number` operation checks the network sync status. This gives your production agent the current chain tip before it attempts to read state. Uptime matters when you run deployed systems. The `check_api_status` tool lets your agent verify the connection before committing to a complex series of contract reads.

Setup guide

Set up Alchemy 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 Alchemy tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Alchemy 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="Alchemy Agent",
            instructions="You have access to Alchemy 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 Alchemy MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents`. Initialize the connection with `MCPServerStreamableHttp` and pass the URL parameters. Wrap it in an async context manager and hand it to your Agent constructor.

Yes, setting `cacheToolsList=True` prevents the agent from fetching the schema on every run. This cuts down initialization time when you deploy to production.

Built-in guardrails catch the error before it crashes your system. The agent receives the failure context and can either retry the request or trigger a handoff.

You have to loop through them. The tools accept single addresses, so your agent will make sequential calls for each wallet it needs to check.

This integration only processes public blockchain data like wallet addresses, transaction hashes, and block numbers. Your API keys stay local to your server environment, and the node provider never sees your agent's internal prompts.

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