How to Use the Bolt MCP in OpenAI Agents SDK

Q: How does OpenAI Agents SDK handle failed Bolt payment requests?

The SDK captures exceptions raised during tools like capturetransaction or voidtransaction. You write custom guardrails to catch these errors and trigger fallback agent handoffs.

Q: How do I track Bolt webhooks in this SDK?

Use listwebhooks to inspect active listeners. The OpenAI dashboard records these tool calls, giving you full visibility into your webhook configuration.

Run secure, multi-agent checkout workflows with OpenAI Agents SDK and the Bolt MCP Server.

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Connect Bolt MCP to OpenAI Agents SDK

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

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Validate Bolt refunds via OpenAI guardrails

The `refund_transaction` tool lets your agent return money to customers directly from your python runtimes. When your OpenAI Agents SDK workflow runs, built-in safety guardrails verify the transaction history before executing the python call. You configure handoffs between a customer support agent and a billing agent to isolate these critical payment tools. The SDK traces every refund action back to the OpenAI dashboard so you have an audit trail of who approved the payout.

Verify order states using OpenAI Agents SDK

The `get_order_details` tool retrieves the current status of any customer purchase inside your multi-agent system. Your OpenAI Agents SDK setup uses async context managers to stream order tokens and state updates directly to your decision-making nodes. By passing this MCP Server to your Agent constructor, you let specialized agents fetch real-time transaction information during chat loops. This setup prevents your agents from acting on stale data when customers ask about shipping or billing errors.

Control checkout tokens in secure agent pipelines

The `create_order_token` tool generates checkout sessions to initiate customer payments. Your OpenAI Agents SDK client coordinates this step with `get_merchant_status` to ensure your Bolt store is active before showing the checkout UI. You set cacheToolsList to true inside your HTTP streamable MCP config to avoid network overhead during peak traffic. This keeps your agent responsive while it handles high-volume payment processing tasks.

Setup guide

Set up Bolt 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 Bolt tools at runtime.
3

Create your Agent

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

Run the agent

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

Install openai-agents, then instantiate MCPServerStreamableHttp with your Vinkius endpoint. Pass this server instance inside the mcp_servers list when constructing your agent.

Yes, you control tool exposure by defining specialized agents for specific tasks. For example, assign `refund_transaction` only to your billing agent while giving your triage agent access to `get_order_details`.

The SDK captures exceptions raised during tools like `capture_transaction` or `void_transaction`. You write custom guardrails to catch these errors and trigger fallback agent handoffs.

Use `list_webhooks` to inspect active listeners. The OpenAI dashboard records these tool calls, giving you full visibility into your webhook configuration.

Vinkius runs the server in an isolated V8 sandbox, preventing access to your underlying environment. Your transaction tokens and merchant credentials never touch OpenAI's training datasets.

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