Bring Push Notifications
to OpenAI Agents SDK
Learn how to connect ntfy (Push Notifications) to OpenAI Agents SDK and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
Compatible with every major AI agent and IDE
What is the ntfy (Push Notifications) MCP Server?
Connect your ntfy instance to any AI agent and manage real-time alerts and notifications through natural conversation. ntfy is an HTTP-based pub-sub service that allows you to send notifications to your phone or desktop via scripts or APIs.
What you can do
- Instant Publishing — Send messages to any ntfy topic with custom titles, priorities, and tags (emojis).
- Message Polling — Retrieve cached messages from a topic to stay updated on previous alerts or system logs.
- Rich Notifications — Attach clickable URLs, custom icons, and even files to your push notifications.
- Scheduled Alerts — Use the delay parameter to schedule notifications for the future.
- Advanced Formatting — Send notifications with Markdown support for better readability on supported clients.
How it works
- Subscribe to this server
- Enter your ntfy instance URL (e.g.,
https://ntfy.sh) and an optional access token - Start sending alerts from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps Engineers — Automate deployment alerts and system monitoring notifications directly from the terminal or IDE.
- Developers — Send debugging info or long-running task completions to your phone.
- Power Users — Create custom workflows that bridge AI agents with mobile push notifications without complex setups.
Built-in capabilities (2)
Poll cached messages from a ntfy topic
Topics are created on the fly. Publish a push notification to a ntfy topic
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 2 tools from ntfy (Push Notifications) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ntfy (Push Notifications), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ntfy (Push Notifications) in OpenAI Agents SDK
ntfy (Push Notifications) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ntfy (Push Notifications) to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ntfy (Push Notifications) in OpenAI Agents SDK
The ntfy (Push Notifications) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 2 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
ntfy (Push Notifications) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the ntfy (Push Notifications) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I send emojis in my notifications?
Yes! Use the tags parameter in the publish_message tool. You can provide a comma-separated list of emojis or tags like 'warning,skull' to display them in the notification.
How do I check for messages that were sent while I was away?
You can use the poll_messages tool. By specifying the topic and optionally the since parameter, you can retrieve the history of cached messages from that topic.
Does this support self-hosted ntfy instances?
Absolutely. During setup, you can provide your custom NTFY_URL. If your instance requires authentication, you can also provide your NTFY_TOKEN.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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