Compatible with every major AI agent and IDE
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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 22 tools from Gotify through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Gotify, 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
Gotify in OpenAI Agents SDK
Gotify and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gotify 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 Gotify in OpenAI Agents SDK
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 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
Gotify for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK 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 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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