How to Use the Coder (Remote Dev) MCP in OpenAI Agents SDK

Q: How do I connect Coder (Remote Dev) to my OpenAI Agents SDK project?

You instantiate the server using the MCPServerStreamableHttp class. Pass this object directly into your agent constructor to enable automatic tool discovery.

Q: Can Coder (Remote Dev) handle workspace builds in OpenAI Agents SDK?

Yes, your agent invokes createworkspace to spin up new environments on demand. You can then monitor the progress using getworkspacebuild tools.

Q: Is it possible to debug remote agent connections?

You can call getagentdebugmagicsock or getagentconnection to inspect connectivity. These tools provide the low-level details needed to troubleshoot network issues.

Manage your Coder (Remote Dev) infrastructure directly from your OpenAI Agents SDK production pipeline.

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Connect Coder (Remote Dev) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Coder (Remote Dev) 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 Coder (Remote Dev) with OpenAI Agents SDK

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Full lifecycle workspace control

Your agent handles the heavy lifting of environment management without leaving your Python code. It triggers `create_workspace` or handles `cancel_workspace_build` based on your specific branch deployment logic. Safety remains the priority within your OpenAI Agents SDK setup. Every action is tracked, letting you audit exactly when an agent initiates a `delete_user` or modifies an ACL.

Real-time agent observability

Stop hunting through dashboards when a build fails. Your agent pulls logs using `get_agent_logs` or `get_workspace_build_logs` to diagnose issues instantly. This MCP Server provides the raw data your agent needs to resolve errors. It even surfaces `get_agent_debug_logs` so you see the exact state of your remote containers during execution.

Automated organization management

Scale your team operations by letting the agent handle routine administrative tasks. It manages `create_group` and `create_organization` entries as your company grows. Your OpenAI Agents SDK implementation uses these tools to keep permissions tight. You'll automate `create_user_token` distribution without manual overhead.

Setup guide

Set up Coder (Remote Dev) 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 Coder (Remote Dev) tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate the server using the `MCPServerStreamableHttp` class. Pass this object directly into your agent constructor to enable automatic tool discovery.

Yes, your agent invokes `create_workspace` to spin up new environments on demand. You can then monitor the progress using `get_workspace_build` tools.

The server only exposes the specific endpoints you authorize. It handles workspace metadata, build logs, and user management tokens required for your agent to function.

You can call `get_agent_debug_magicsock` or `get_agent_connection` to inspect connectivity. These tools provide the low-level details needed to troubleshoot network issues.

It relies on a single endpoint token managed by Vinkius. Your agent uses this to verify permissions via `check_auth` before executing any sensitive commands.

Use it with your favorite AI tools

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