A simple note-taking MCP server that allows storing and summarizing notes with custom URI schemes and provides functionality to add notes and generate summaries with different detail levels.
An MCP server that provides weather alerts and forecasts using the National Weather Service API, with additional system tools for shell commands and process information.
A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.
Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.
MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.
Provides tools to communicate with a service dependency API, enabling users to query and interact with service relationship data and dependency mappings.
A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.
A production-ready generic FastMCP server template with SQLAlchemy async CRUD, enabling rapid bootstrapping of MCP data-management services. It provides registry-driven CRUD, FK resolution, conflict versioning, and multiple transports.
Real-time hydrological information retrieval service that provides water level, precipitation, dam discharge data, and observatory location information.
A reusable MCP HTTP server with OAuth 2.1 that turns any JSON-RPC handler into a production-ready endpoint with dynamic client registration, PKCE, refresh tokens, and OpenAPI docs.
Provides current weather conditions and forecasts for Singapore from official NEA APIs, enabling users to query real-time weather data and multi-day forecasts through natural language.
This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
Provides real-time weather alerts and forecasts from the National Weather Service for US locations, integrating with AI assistants via the Model Control Protocol.