Bring Push Notifications
to Pydantic AI
Learn how to connect Gotify to Pydantic AI 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 Pydantic AI?
Pydantic AI validates every Gotify tool response against typed schemas, catching data inconsistencies at build time. Connect 22 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gotify integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Gotify connection logic from agent behavior for testable, maintainable code
Gotify in Pydantic AI
Gotify and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gotify to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Gotify MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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