A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.
A powerful server providing advanced thinking tools via the Model Context Protocol (MCP) to enhance the reasoning, planning, and iterative refinement capabilities of AI agents like Cline.
Enables working with 3D models by converting GLTF/GLB files into React Three Fiber JSX components and analyzing model structures, hierarchies, and properties for debugging and optimization.
Integration with Timeplus, a database for streaming data, such as Apache Kafka/Pulsar
A minimal MCP server that provides current time information with configurable timezone support set on the client side.
A TypeScript server that provides time-related tools through the Model Context Protocol, allowing users to get current time in various timezones and convert times between different IANA timezones.
Provides comprehensive time manipulation capabilities including timezone conversions, date arithmetic, business day calculations, duration calculations, and recurring event handling. Enables natural language time queries with high performance and intelligent caching.
A server that connects to SK TMAP API, providing access to public transit routing and geocoding functionality through a standardized interface.
API de gerenciamento de tarefas via WebSocket com execução modular de comandos e suporte a ferramentas, desenvolvida em TypeScript com banco SQLite. Projetada para integração com agentes de inteligência artificial.
Enables users to manage a persistent todo list through natural language, supporting adding, listing, toggling completion status, and removing todos. Features both stdio and HTTP transports with optional authentication and JSON file storage.
A server that implements a checklist management system with features like task creation, progress tracking, data persistence, and item comments.
MCP Server to create and manage tasks, projects, labels and more in Todoist, using their unified v1 API
Enables natural language todo list management through Claude Desktop with YAML-based persistence. Supports creating, completing, deleting, and listing todo items with automatic timestamp tracking and secure file permissions.
A task management system that exposes CRUD operations for todos through a custom MCP protocol, enabling AI agents and CLI tools to create, read, update, and delete tasks using JSON-based communication over stdin/stdout.
A distributed task management server that provides todo list operations with AI-powered task prioritization using OpenAI, built on Redis for shared state across multiple nodes.
Enables AI agents and automation tools to manage TODO tasks through full CRUD operations. Built with NestJS and supports both SSE and Stdio transports for seamless integration with Claude Desktop, ChatGPT, and n8n.
Enables time tracking and reporting through Toggl Track integration with intelligent caching. Supports starting/stopping timers, generating daily/weekly reports, and managing projects with structured JSON output for automation workflows.
Bridges MCP tool calls with OpenAI-compatible HTTP endpoints, allowing MCP clients to forward chat completion requests through a unified FastAPI server that returns responses with MCP-specific headers.
Open source MCP server specializing in easy, fast, and secure tools for Databases.
CLI for adding/removing MCP servers in predefined groups to claude, cursor, or wherever you like

