How to Use the YepCode MCP in OpenAI Agents SDK

Q: Can I check process history when using YepCode with the OpenAI Agents SDK?

Absolutely. The listexecutions tool lets your agent pull a clean list of recent job runs. You can use this data to trace failures and validate that the code executed correctly.

Build Production Agents: Trigger YepCode processes and manage infrastructure using the OpenAI Agents SDK.

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Connect YepCode MCP to OpenAI Agents SDK

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

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Perplexity

Automate Complex Workflows

Need to run a multi-step task? Your agent uses `run_process` to trigger serverless code snippets in YepCode. It then monitors the results, letting you handle complex automations without writing boilerplate cloud client logic. Checking recent runs is simple. Use `list_executions` to get a history of process completions and failures, ensuring your deployed product stays on track.

Manage Code Dependencies

The agent can list all available processes via the `list_processes` tool. This lets it dynamically check which integrations are ready to run, preventing errors before they happen. Furthermore, if your code relies on protected keys, you'll use `list_secrets` to retrieve account secrets safely within the production context.

Understand Process Status

When an agent needs to know what happened inside a specific job, it calls `get_process_details`. This gives immediate status information for any given process ID. It also lets your agent list available teams through `list_teams`, which is crucial if the underlying code execution depends on role-based permissions.

Setup guide

Set up YepCode 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 YepCode tools at runtime.
3

Create your Agent

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

Run the agent

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

The agents auto-discover all available YepCode tools, so you don't have to manually map endpoints. This means your production agent system is ready right out of the box, letting you focus on guardrails instead of connectivity.

Yep. The MCP Server handles secret storage and retrieval using `list_secrets`. Your agent doesn't need to know the raw keys; it just needs permission to access them, which is key for a secure product build.

Absolutely. The `list_executions` tool lets your agent pull a clean list of recent job runs. You can use this data to trace failures and validate that the code executed correctly.

Yes, not only through full tracing in the OpenAI dashboard but also because every action taken by your agent is recorded. This gives you a complete audit trail for debugging complex integrations.

This server manages sensitive account secrets, which are stored as strings and accessed via `list_secrets`. Your agent must validate its need for this protected data type before calling any function.

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