How to Use the Rocket.Chat MCP in OpenAI Agents SDK

Q: What happens if my OpenAI Agents SDK tries to delete a message without a proper ID?

The tool will return an error because chatdeletemessage requires both the room ID and the specific message ID. Your agent catches this during the execution phase before sending the request.

Connect your OpenAI Agents SDK to Rocket.Chat to handle alerts and manage workspaces with production-grade guardrails.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Rocket.Chat MCP to OpenAI Agents SDK

Create your Vinkius account to connect Rocket.Chat to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Rocket.Chat with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automate channel messaging

Send alerts and status updates directly into your workspace. Use `chat_post_message` to push notifications to specific users or public channels without switching tabs. Your agent manages the traffic flow while you maintain control. It uses `chat_send_message` to target specific room IDs, ensuring your team gets the right data exactly when it happens.

Map your workspace directory

Pull accurate user lists and channel metadata into your agent's context. You can use `list_users` and `get_user_info` to verify permissions before your agent executes any sensitive operations. This data gives your code a clear view of who is active. You will know exactly who owns a project before you trigger a message, keeping your automated workflows precise.

Manage your chat history

Keep your channels clean by updating or removing outdated information. Use `chat_update_message` to correct errors in real-time or `chat_delete_message` to wipe irrelevant alerts. Your agent handles these tasks using room and message IDs. It keeps the workspace relevant for human engineers by removing the noise that piles up during long incidents.

Setup guide

Set up Rocket.Chat 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 Rocket.Chat tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Rocket.Chat 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="Rocket.Chat Agent",
            instructions="You have access to Rocket.Chat 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 Rocket.Chat. 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.

Why Choose Vinkius

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Common questions about Rocket.Chat MCP in OpenAI Agents SDK

You instantiate the MCP server using the streamable HTTP parameters within your agent setup. Once connected, your agent auto-discovers every tool from the server, allowing immediate function calls.

Yes, provided the credentials have access to those rooms. You can use `list_private_groups` to see what is available and target them just like public channels.

The tool will return an error because `chat_delete_message` requires both the room ID and the specific message ID. Your agent catches this during the execution phase before sending the request.

Yes, all tool calls are logged through the standard MCP protocol. You can trace these interactions directly in your dashboard to monitor how your agent interacts with the workspace.

Your data remains restricted to the specific endpoints you authorize. This MCP server acts as a gateway that only touches message text and metadata, ensuring no unauthorized access occurs.

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