ntfy (Push Notifications) MCP Server for CrewAIGive CrewAI instant access to 2 tools to Poll Messages and Publish Message

Name: ntfy (Push Notifications)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to ntfy (Push Notifications) through Vinkius, pass the Edge URL in the `mcps` parameter and every ntfy (Push Notifications) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The ntfy (Push Notifications) MCP Server for CrewAI is a standout in the Productivity category — giving your AI agent 2 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="ntfy (Push Notifications) Specialist",
    goal="Help users interact with ntfy (Push Notifications) effectively",
    backstory=(
        "You are an expert at leveraging ntfy (Push Notifications) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ntfy (Push Notifications) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 2 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, ntfy (Push Notifications) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ntfy (Push Notifications) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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

Poll messages on ntfy (Push Notifications)

Poll cached messages from a ntfy topic

publish

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 CrewAI via MCP

Follow these steps to wire ntfy (Push Notifications) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 2 tools from ntfy (Push Notifications)

Why Use CrewAI with the ntfy (Push Notifications) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ntfy (Push Notifications) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

ntfy (Push Notifications) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the ntfy (Push Notifications) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries ntfy (Push Notifications) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries ntfy (Push Notifications), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ntfy (Push Notifications) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ntfy (Push Notifications) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for ntfy (Push Notifications) in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting ntfy (Push Notifications) to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

ntfy (Push Notifications) + CrewAI FAQ

Common questions about integrating ntfy (Push Notifications) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Explore More MCP Servers

View all →

Chewy Ads

8 tools

Manage retail media and sponsored products via Chewy Ads — track campaigns, monitor performance, and audit keywords directly from any AI agent.

Factorial

12 tools

Manage HR operations via Factorial — list employees and teams, track leave requests, monitor shifts and payslips, and handle company documents directly from any AI agent.