Bring Push Notifications
to Google ADK
Learn how to connect ntfy (Push Notifications) to Google ADK and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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 Google ADK?
Google ADK natively supports ntfy (Push Notifications) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 2 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
- —
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ntfy (Push Notifications)
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine ntfy (Push Notifications) tools with BigQuery, Vertex AI, and Cloud Functions
ntfy (Push Notifications) in Google ADK
ntfy (Push Notifications) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ntfy (Push Notifications) to Google ADK 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 Google ADK
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 Google ADK 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 Google ADK
Every tool call from Google ADK 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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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