"Subscribing to Resources and Receiving Notifications" matching MCP servers:

Enables MCP agents to send desktop notifications for completed tasks, failures, and important updates, providing visible and reliable feedback.

Enables sending real-time and webhook notifications when AI agents complete tasks, with support for Discord, Slack, Teams, Feishu, Ntfy, and custom webhooks.

Enables Claude and other MCP clients to display native macOS notifications with customizable titles, messages, icons, and sounds through the macOS Notification Center.

Enables AI assistants to send native macOS notifications for task completion alerts and reminders. Supports interactive features like custom system sounds, action buttons, and user replies directly from the notification center.

MCP server that lets Claude Desktop or another MCP client trigger macOS sound and visual notifications through a task_status tool.

An MCP server that enables AI assistants like Claude to help users manage their GitHub notifications through natural language commands.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

An MCP server that lets LLM agents dispatch native OS notifications when a task finishes. It supports cross-platform desktop notifications, task tokens for updates, mobile bridges, and quiet hours.

Enables sending customizable Slack notifications from Claude, supporting rich formatting, task completion alerts, and priority levels for development workflows.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Enables interaction with Slack channels including checking Xcode Cloud build status, reading and searching messages, sending messages, and listing channels.

Enables AI agents to search through OpenShift service notification logs using semantic search powered by ChromaDB and sentence transformers, helping find relevant notifications based on problem descriptions with metadata enrichment and variable interpolation support.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.