Bring Push Notifications
to CrewAI
Learn how to connect Gotify to CrewAI and start using 22 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 Gotify MCP Server?
Connect your Gotify instance to any AI agent to streamline your notification workflows. Gotify is a self-hosted notification server, and this MCP server allows you to interact with its API using natural language.
What you can do
- Messaging — Send push notifications with custom priorities and titles, or retrieve and delete existing messages from your stream.
- Application Management — Create, list, update, or delete Gotify applications to organize your notification sources and tokens.
- Client Control — Manage clients and tokens to authorize different devices or services to receive messages.
- User Administration — (Admin only) List or create users to manage access to your private Gotify instance.
How it works
- Subscribe to this server
- Enter your Gotify URL and your Application or Client tokens
- Start sending alerts or managing your server from Claude, Cursor, or any MCP client
Who is this for?
- DevOps Engineers — automate alerts for CI/CD pipelines or server health checks directly from the terminal.
- Developers — test notification payloads and manage app tokens without leaving the code editor.
- Home Automation Enthusiasts — bridge your AI assistant with your self-hosted notification hub.
Built-in capabilities (22)
Change current user password
Create a new application
Create a new client
Create a new user (Admin only)
Delete all messages for the authenticated client
Delete an application
Delete a client
Delete a specific message
List all applications
List all clients
Get current user details
Get server health status
Requires GOTIFY_CLIENT_TOKEN. Retrieve messages
Get plugin configuration
Get plugin display info
List all plugins
List all users (Admin only)
Get server version info
Requires GOTIFY_APP_TOKEN. Send a message via Gotify
Update an application
Update a client
Update plugin configuration
Why CrewAI?
When paired with CrewAI, Gotify becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Gotify tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
Gotify in CrewAI
Gotify and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gotify to CrewAI 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 Gotify in CrewAI
The Gotify 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 22 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI 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
Gotify for CrewAI
Every tool call from CrewAI to the Gotify MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I send a notification to my phone using this server?
Use the send_message tool. You'll need to provide a message and a title. Ensure you have configured your GOTIFY_APP_TOKEN so the server knows which application is sending the alert.
Can I clear all messages from my Gotify stream at once?
Yes, you can use the delete_all_messages tool. This requires a valid GOTIFY_CLIENT_TOKEN to authorize the deletion of messages for that specific client.
Is it possible to create new application tokens via AI?
Absolutely. Use the create_application tool with a name and optional description. The AI will return the details of the new application, including its token.
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.
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.
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