How to Use the Gotify MCP in OpenAI Agents SDK

Q: Can OpenAI Agents handle Gotify message history?

Yes. The agent uses getmessages to pull historical data. It processes this text locally to summarize events for your team.

Q: What happens if my Gotify server goes down?

Your agent checks gethealth before sending data. It handles the failure gracefully according to your custom error logic.

Push notifications directly from your OpenAI agents. Manage your Gotify server and message flow within your production Python pipeline.

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Connect Gotify MCP to OpenAI Agents SDK

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

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Automate Gotify messaging in OpenAI Agents

Your agent handles notification dispatching without manual intervention. It uses `send_message` to trigger alerts based on logic defined in your agent's system prompt. This setup ensures your production environment stays updated. The agent manages message priority and content dynamically, keeping your logs clean.

Manage applications via OpenAI Agents

Stop switching contexts to provision new notification channels. Use `create_application` and `update_application` to define new endpoints on the fly. Your agent keeps the server state synced with your infrastructure. It lists existing setups with `get_applications` to prevent duplicate resource creation.

Audit your Gotify server with OpenAI Agents

Keep tabs on your server health and versioning automatically. The agent calls `get_health` to verify status before firing critical alerts. It also monitors user activity through `get_clients`. If something looks off, your agent identifies the issue in the trace logs immediately.

Setup guide

Set up Gotify 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 Gotify tools at runtime.
3

Create your Agent

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

Run the agent

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

Store your tokens in an environment variable or a secure secret manager. Your agent reads these to authenticate its requests to the Gotify MCP server.

Yes. The agent uses `get_messages` to pull historical data. It processes this text locally to summarize events for your team.

It does. The server exposes tools directly to the agent's execution loop. You just define the server URL in your configuration.

Your agent checks `get_health` before sending data. It handles the failure gracefully according to your custom error logic.

All traffic stays between your local agent and the server. No message content is stored by the MCP server itself; it only passes data via encrypted HTTPS calls.

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