ntfy notification dispatch via mcp protocol, secure token-based authentication for ntfy server access, ntfy notification fetching and message retrieval, mcp server deployment and lifecycle management, mcp tool schema definition and validation

Ntfy

MCP ServerFree

** - An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!)

Open Source

/ 100

5 capabilities

Capabilities5 decomposed

ntfy notification dispatch via mcp protocol

Medium confidence

Sends notifications to a self-hosted ntfy server by implementing the Model Context Protocol (MCP) as a transport layer, allowing AI agents to invoke ntfy's HTTP API through standardized MCP tool calls. The MCP server exposes ntfy's publish endpoint as a callable tool, handling request serialization, authentication token injection, and response marshaling between the agent and ntfy backend.

Solves for

I want my AI agent to send alerts and notifications to a self-hosted ntfy instance without making direct HTTP callsI need to integrate ntfy notifications into an agentic workflow while maintaining MCP protocol compatibilityI want to trigger notifications from Claude or other MCP-compatible agents when certain conditions are met

Best for

AI agent developers building notification-driven workflows

Teams running self-hosted ntfy servers who want agent integration

Developers using MCP-compatible LLM clients (Claude Desktop, etc.)

Requires

Node.js 16+ (for npx execution) or Docker runtime

Self-hosted ntfy server instance with accessible HTTP endpoint

MCP-compatible client (Claude Desktop, custom agent framework, etc.)

Limitations

Requires a running self-hosted ntfy server — does not work with ntfy.sh cloud service by default without configuration

MCP protocol overhead adds latency compared to direct HTTP calls; suitable for non-real-time notifications

No built-in retry logic or dead-letter queue for failed notifications — relies on agent-level error handling

What makes it unique

Implements ntfy as an MCP server rather than a direct HTTP client, enabling seamless integration with MCP-compatible AI agents and LLM clients through standardized tool calling conventions. Supports secure token-based authentication and abstracts ntfy's HTTP API complexity behind MCP's structured tool interface.

vs alternatives

Unlike direct ntfy HTTP libraries, this MCP wrapper allows agents to use notifications as a native capability without custom code, and unlike generic webhook integrations, it provides type-safe, schema-validated notification dispatch through MCP's tool definition system.

secure token-based authentication for ntfy server access

Medium confidence

Manages ntfy server authentication by accepting and injecting bearer tokens into outbound HTTP requests to the ntfy backend. The MCP server stores authentication credentials (either as environment variables or configuration) and automatically appends the Authorization header to all notification publish requests, enabling access to token-protected ntfy instances without exposing credentials in agent prompts.

Solves for

I want to authenticate my agent's ntfy requests without hardcoding credentials in the agent's contextI need to restrict which topics and actions my agent can perform on the ntfy server using token-based access controlI want to rotate or revoke agent access to ntfy without modifying the agent's configuration

Best for

Production deployments requiring secure credential management

Multi-tenant environments where different agents need different ntfy permissions

Teams using Docker or containerized agent deployments with secret management

Requires

Valid ntfy authentication token generated by the ntfy server admin

Environment variable or config file mechanism to pass token to MCP server (e.g., NTFY_TOKEN, NTFY_AUTH_TOKEN)

Self-hosted ntfy server configured with token authentication enabled

Limitations

Token is stored in environment or config file — requires secure secret management infrastructure (e.g., Docker secrets, Kubernetes secrets, .env files with restricted permissions)

No built-in token rotation or expiration handling — token lifecycle must be managed externally

Bearer token is sent in plaintext over HTTP if ntfy server is not behind HTTPS — requires TLS termination upstream

What makes it unique

Abstracts ntfy token authentication at the MCP server level rather than requiring agents to handle credentials, preventing accidental token exposure in agent logs or prompts. Supports environment-based credential injection compatible with containerized deployments and secret management systems.

vs alternatives

More secure than embedding credentials in agent prompts or configuration files visible to the LLM, and simpler than implementing OAuth or mTLS for agent-to-ntfy communication.

ntfy notification fetching and message retrieval

Medium confidence

Retrieves historical notifications and message metadata from a self-hosted ntfy server by exposing a fetch/list capability through MCP tool calls. The server queries ntfy's message history endpoint with optional filtering by topic, timestamp range, or message count, deserializing the JSON response into structured notification objects that agents can inspect, analyze, or act upon.

Solves for

I want my agent to check recent notifications on a specific ntfy topic to make decisions based on notification historyI need to retrieve and analyze notification metadata (timestamps, tags, content) for audit or monitoring purposesI want to implement a feedback loop where the agent reads notifications and responds to them

Best for

Agents implementing notification-driven workflows with state awareness

Monitoring and alerting systems that need to correlate agent actions with notification history

Developers building notification-based audit trails or compliance logging

Requires

Self-hosted ntfy server with message history enabled

Topic name or wildcard pattern to query

Optional: ntfy authentication token if server requires it

Limitations

ntfy message retention is limited by server configuration (default 12 hours) — older messages may not be retrievable

Fetching large message histories (100+ messages) may incur latency; no built-in pagination or streaming

No filtering by message content or regex patterns — filtering must be done client-side by the agent after retrieval

What makes it unique

Exposes ntfy's message history API as a queryable MCP tool, allowing agents to treat notification streams as a readable data source rather than a write-only channel. Deserializes ntfy's JSON response format into agent-consumable structures with optional filtering parameters.

vs alternatives

Unlike webhook-based notification systems that only push new messages, this capability enables agents to proactively query notification history and implement stateful workflows. More flexible than polling raw HTTP endpoints because filtering and deserialization are handled by the MCP server.

mcp server deployment and lifecycle management

Medium confidence

Provides two deployment modes for the ntfy MCP server: direct execution via npx (Node.js package execution) and containerized deployment via Docker. The npx mode downloads and runs the server in-process, while Docker mode packages the server with all dependencies into an isolated container, both exposing the MCP protocol on stdio or a network socket for client connection.

Solves for

I want to quickly test ntfy MCP integration without installing dependenciesI need to deploy the ntfy MCP server in a containerized environment (Kubernetes, Docker Compose, etc.)I want to run the MCP server as a sidecar or service alongside my agent application

Best for

Developers prototyping MCP integrations with minimal setup

DevOps teams deploying agents in containerized infrastructure

Teams using Claude Desktop or other MCP clients that support stdio-based servers

Requires

For npx: Node.js 16+ and npm/npx installed

For Docker: Docker runtime 20.10+ with network access to ntfy server

MCP-compatible client configured to connect to the server

Limitations

npx mode requires Node.js 16+ installed locally; not suitable for minimal environments

Docker mode adds container overhead (~50-100MB image size) and startup latency (~2-5 seconds)

No built-in health checks or graceful shutdown handling — relies on client/orchestrator to manage lifecycle

What makes it unique

Supports dual deployment modes (npx and Docker) with minimal configuration, enabling both quick prototyping and production-grade containerized deployments. Abstracts deployment complexity behind simple command-line interfaces compatible with existing MCP client ecosystems.

vs alternatives

More accessible than building custom MCP servers from scratch; npx mode enables zero-install testing, while Docker mode provides production-ready isolation. Simpler than manually configuring Node.js services or managing Python virtual environments.

mcp tool schema definition and validation

Medium confidence

Defines the ntfy notification operations (send, fetch) as structured MCP tools with JSON Schema validation, specifying required parameters (topic, message), optional parameters (tags, priority, action URL), and response formats. The MCP server validates incoming tool calls against these schemas before forwarding to ntfy, ensuring type safety and preventing malformed requests.

Solves for

I want my agent to understand what parameters are required for sending notifications without trial-and-errorI need to ensure notifications sent by the agent conform to ntfy's expected formatI want to expose only specific notification capabilities to the agent (e.g., read-only access to certain topics)

Best for

Developers building type-safe agent integrations

Teams requiring strict validation of agent-generated requests

MCP clients that leverage schema information for agent prompting or UI generation

Requires

MCP client that supports tool schema inspection (most modern MCP clients do)

JSON Schema understanding in the agent or client

Limitations

Schema validation is performed at the MCP server level; agents can still attempt invalid operations if they ignore schema hints

No built-in schema versioning or evolution — schema changes require server restart

Complex conditional schemas (e.g., 'priority required if action URL is set') are not expressible in JSON Schema alone

What makes it unique

Implements JSON Schema-based tool definitions for ntfy operations, enabling MCP clients to introspect available capabilities and validate requests before execution. Provides type safety at the integration boundary without requiring agents to understand ntfy's HTTP API details.

vs alternatives

More robust than unvalidated function calling because schema violations are caught before reaching ntfy. Enables better agent prompting and client UX compared to unstructured tool definitions.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with Ntfy, ranked by overlap. Discovered automatically through the match graph.

MCP Server26

cls-mcp-server

[![npm version](https://img.shields.io/npm/v/cls-mcp-server)](https://www.npmjs.com/package/cls-mcp-server) [![license](https://img.shields.io/npm/l/cls-mcp-server)](https://github.com/Tencent/cls-mcp-server/blob/v1.0.2/LICENSE)

authentication and credential management for mcp transport

1 shared capability

MCP Server26

mcp-auth

Plug and play auth for Model Context Protocol (MCP) servers

mcp protocol-aware token validation and session management

1 shared capability

MCP Server42

@tmcp/transport-http

Transport for TMCP using HTTP

authentication and authorization header handling for http transport

1 shared capability

MCP Server37

modelcontextprotocol

Specification and documentation for the Model Context Protocol

oauth 2.1 authorization framework with token management and validation

1 shared capability

MCP Server24

Todoist

** - Full implementation of Todoist Rest API for MCP server

mcp-protocol-authentication-and-session-management

1 shared capability

MCP Server33

ToolHive

Find the right MCP server for your task and deploy with one...

network security with mtls and encrypted transport protocols

1 shared capability

Best For

✓AI agent developers building notification-driven workflows
✓Teams running self-hosted ntfy servers who want agent integration
✓Developers using MCP-compatible LLM clients (Claude Desktop, etc.)
✓Production deployments requiring secure credential management
✓Multi-tenant environments where different agents need different ntfy permissions
✓Teams using Docker or containerized agent deployments with secret management
✓Agents implementing notification-driven workflows with state awareness
✓Monitoring and alerting systems that need to correlate agent actions with notification history

Known Limitations

⚠Requires a running self-hosted ntfy server — does not work with ntfy.sh cloud service by default without configuration
⚠MCP protocol overhead adds latency compared to direct HTTP calls; suitable for non-real-time notifications
⚠No built-in retry logic or dead-letter queue for failed notifications — relies on agent-level error handling
⚠Token is stored in environment or config file — requires secure secret management infrastructure (e.g., Docker secrets, Kubernetes secrets, .env files with restricted permissions)
⚠No built-in token rotation or expiration handling — token lifecycle must be managed externally
⚠Bearer token is sent in plaintext over HTTP if ntfy server is not behind HTTPS — requires TLS termination upstream

Requirements

Node.js 16+ (for npx execution) or Docker runtimeSelf-hosted ntfy server instance with accessible HTTP endpointMCP-compatible client (Claude Desktop, custom agent framework, etc.)Optional: ntfy authentication token if server requires token-based authValid ntfy authentication token generated by the ntfy server adminEnvironment variable or config file mechanism to pass token to MCP server (e.g., NTFY_TOKEN, NTFY_AUTH_TOKEN)Self-hosted ntfy server configured with token authentication enabledSelf-hosted ntfy server with message history enabled

Input / Output

Accepts: JSON-structured MCP tool call with topic, message, and optional metadata fields, Plain text notification body, Optional: structured tags, priority levels, and action URLs as JSON, Bearer token string (typically 32+ character alphanumeric), Optional: ntfy server URL with protocol (http:// or https://), Topic name (string), Optional: limit (integer, max messages to fetch), Optional: since (timestamp, ISO 8601 format), Command-line arguments (npx mode): ntfy server URL, auth token, port, Environment variables or Docker compose configuration (Docker mode), JSON Schema definitions for ntfy tool parameters, Tool call requests from MCP client

Produces: JSON response confirming notification delivery status, HTTP status code from ntfy server (200 for success, 4xx/5xx for errors), Optional: ntfy message ID for tracking, HTTP Authorization header injected into requests, Success/failure response from ntfy server indicating auth acceptance, JSON array of notification objects with fields: id, time, message, tags, title, priority, Structured metadata including message timestamps and topic information, MCP protocol stream on stdio (for stdio-based clients), Network socket or HTTP endpoint (for network-based clients), Validated tool call forwarded to ntfy, Validation error response if schema constraints are violated

UnfragileRank

Adoption15%(25% weight)

Quality21%(25% weight)

Ecosystem30%(15% weight)

Match Graph25%(30% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

5 capabilities

Visit Ntfy→

About

** - An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!)

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Capabilities5 decomposed

ntfy notification dispatch via mcp protocol

Medium confidence

Solves for

Best for

AI agent developers building notification-driven workflows

Teams running self-hosted ntfy servers who want agent integration

Developers using MCP-compatible LLM clients (Claude Desktop, etc.)

Requires

Node.js 16+ (for npx execution) or Docker runtime

Self-hosted ntfy server instance with accessible HTTP endpoint

MCP-compatible client (Claude Desktop, custom agent framework, etc.)

Limitations

Requires a running self-hosted ntfy server — does not work with ntfy.sh cloud service by default without configuration

MCP protocol overhead adds latency compared to direct HTTP calls; suitable for non-real-time notifications

No built-in retry logic or dead-letter queue for failed notifications — relies on agent-level error handling

What makes it unique

vs alternatives

secure token-based authentication for ntfy server access

Medium confidence

Solves for

Best for

Production deployments requiring secure credential management

Multi-tenant environments where different agents need different ntfy permissions

Teams using Docker or containerized agent deployments with secret management

Requires

Valid ntfy authentication token generated by the ntfy server admin

Environment variable or config file mechanism to pass token to MCP server (e.g., NTFY_TOKEN, NTFY_AUTH_TOKEN)

Self-hosted ntfy server configured with token authentication enabled

Limitations

Token is stored in environment or config file — requires secure secret management infrastructure (e.g., Docker secrets, Kubernetes secrets, .env files with restricted permissions)

No built-in token rotation or expiration handling — token lifecycle must be managed externally

Bearer token is sent in plaintext over HTTP if ntfy server is not behind HTTPS — requires TLS termination upstream

What makes it unique

vs alternatives

More secure than embedding credentials in agent prompts or configuration files visible to the LLM, and simpler than implementing OAuth or mTLS for agent-to-ntfy communication.

ntfy notification fetching and message retrieval

Medium confidence

Solves for

Best for

Agents implementing notification-driven workflows with state awareness

Monitoring and alerting systems that need to correlate agent actions with notification history

Developers building notification-based audit trails or compliance logging

Requires

Self-hosted ntfy server with message history enabled

Topic name or wildcard pattern to query

Optional: ntfy authentication token if server requires it

Limitations

ntfy message retention is limited by server configuration (default 12 hours) — older messages may not be retrievable

Fetching large message histories (100+ messages) may incur latency; no built-in pagination or streaming

No filtering by message content or regex patterns — filtering must be done client-side by the agent after retrieval

What makes it unique

vs alternatives

mcp server deployment and lifecycle management

Medium confidence

Solves for

Best for

Developers prototyping MCP integrations with minimal setup

DevOps teams deploying agents in containerized infrastructure

Teams using Claude Desktop or other MCP clients that support stdio-based servers

Requires

For npx: Node.js 16+ and npm/npx installed

For Docker: Docker runtime 20.10+ with network access to ntfy server

MCP-compatible client configured to connect to the server

Limitations

npx mode requires Node.js 16+ installed locally; not suitable for minimal environments

Docker mode adds container overhead (~50-100MB image size) and startup latency (~2-5 seconds)

No built-in health checks or graceful shutdown handling — relies on client/orchestrator to manage lifecycle

What makes it unique

vs alternatives

mcp tool schema definition and validation

Medium confidence

Solves for

Best for

Developers building type-safe agent integrations

Teams requiring strict validation of agent-generated requests

MCP clients that leverage schema information for agent prompting or UI generation

Requires

MCP client that supports tool schema inspection (most modern MCP clients do)

JSON Schema understanding in the agent or client

Limitations

Schema validation is performed at the MCP server level; agents can still attempt invalid operations if they ignore schema hints

No built-in schema versioning or evolution — schema changes require server restart

Complex conditional schemas (e.g., 'priority required if action URL is set') are not expressible in JSON Schema alone

What makes it unique

vs alternatives

More robust than unvalidated function calling because schema violations are caught before reaching ntfy. Enables better agent prompting and client UX compared to unstructured tool definitions.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Alternatives to Ntfy

IntelliCode46Extension

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GitHub Copilot Chat49Extension

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GitHub Copilot48Extension

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Claude Code for VS Code48Extension

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Ntfy

Capabilities5 decomposed

ntfy notification dispatch via mcp protocol

secure token-based authentication for ntfy server access

ntfy notification fetching and message retrieval

mcp server deployment and lifecycle management

mcp tool schema definition and validation

Related Artifactssharing capabilities

cls-mcp-server

mcp-auth

@tmcp/transport-http

modelcontextprotocol

Todoist

ToolHive

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to Ntfy

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Ntfy

Capabilities5 decomposed

ntfy notification dispatch via mcp protocol

secure token-based authentication for ntfy server access

ntfy notification fetching and message retrieval

mcp server deployment and lifecycle management

mcp tool schema definition and validation

Related Artifactssharing capabilities

cls-mcp-server

mcp-auth

@tmcp/transport-http

modelcontextprotocol

Todoist

ToolHive

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to Ntfy

Are you the builder of Ntfy?

Get the weekly brief

Data Sources