ntfy (Push Notifications) MCP Server for Google ADKGive Google ADK instant access to 2 tools to Poll Messages and Publish Message
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ntfy (Push Notifications) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The ntfy (Push Notifications) MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 2 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="ntfy_push_notifications_agent",
instruction=(
"You help users interact with ntfy (Push Notifications) "
"using 2 available tools."
),
tools=[mcp_tools],
)
* 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
About 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.
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.
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.
The ntfy (Push Notifications) MCP Server exposes 2 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 2 ntfy (Push Notifications) tools available for Google ADK
When Google ADK connects to ntfy (Push Notifications) through Vinkius, your AI agent gets direct access to every tool listed below — spanning push-notifications, pub-sub, real-time-alerts, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Poll messages on ntfy (Push Notifications)
Poll cached messages from a ntfy topic
Publish message on ntfy (Push Notifications)
Topics are created on the fly. Publish a push notification to a ntfy topic
Connect ntfy (Push Notifications) to Google ADK via MCP
Follow these steps to wire ntfy (Push Notifications) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the ntfy (Push Notifications) MCP Server
Google ADK provides unique advantages when paired with ntfy (Push Notifications) through the Model Context Protocol.
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)
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine ntfy (Push Notifications) tools with BigQuery, Vertex AI, and Cloud Functions
ntfy (Push Notifications) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the ntfy (Push Notifications) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query ntfy (Push Notifications) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine ntfy (Push Notifications) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query ntfy (Push Notifications) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ntfy (Push Notifications)
Example Prompts for ntfy (Push Notifications) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with ntfy (Push Notifications) immediately.
"Send a high priority notification to the 'server-alerts' topic saying 'Database backup completed successfully' with a checkmark tag."
"Poll the last 5 minutes of messages from the 'dev-updates' topic."
"Schedule a notification to the 'reminders' topic in 1 hour saying 'Time for the standup meeting!'."
Troubleshooting ntfy (Push Notifications) MCP Server with Google ADK
Common issues when connecting ntfy (Push Notifications) to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkntfy (Push Notifications) + Google ADK FAQ
Common questions about integrating ntfy (Push Notifications) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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