A TypeScript-based MCP server that enables users to manage tasks through natural conversation with Claude. Features complete CRUD operations, priority management, tagging, search functionality, and intelligent productivity insights with robust Zod validation.
A small MCP server that scrapes and returns semantic event data from configured sources, supporting tools to list sources, validate scrapers, and retrieve events by time period or date.
Provides native integration with Apple Reminders and Calendar on macOS, enabling full CRUD operations and smart task management through the Model Context Protocol. It allows users to search, create, and organize reminders and calendar events using natural language via the macOS EventKit framework.
A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.
Node.js server implementing Model Context Protocol (MCP) for filesystem operations, enabling read/write files, directory management, search, and metadata retrieval via SSE transport.
MCP server that exposes a TODO list API to AI assistants, enabling natural language management of tasks with create, read, update, and delete operations.
Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.
Enables AI agents to monitor and read Android notifications in real-time via Termux. Provides access to current notifications with filtering capabilities and real-time streaming of new notifications as they arrive.
Provides 7 MCP servers with 95 tools for git, GitHub, .NET, Ollama, Rust, template sync, and Python, enabling natural-language commands to perform real development operations.
A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.