A production-grade Model Context Protocol server that provides real-time weather data and 5-day forecasts using the Open-Meteo API. It offers comprehensive meteorological metrics supported by Redis caching and built-in performance monitoring tools.
This repository contains files for building an MCP server for weather tasks.
Enables users to retrieve current weather alerts for US states and detailed weather forecasts by geographic coordinates using the US National Weather Service API. Built with Node.js and TypeScript following Model Context Protocol standards for seamless LLM integration.
Provides real-time weather data and 5-day forecasts using OpenWeatherMap API. Supports querying by city name, country code, or geographic coordinates with detailed climate information including temperature, humidity, wind, and UV index.
Fetches current weather information for any city using the Open-Meteo API through a simple MCP tool interface.
A Model Context Protocol server that provides real-time weather data to AI clients through Server-Sent Events, enabling them to fetch current weather conditions, multi-day forecasts, and location-based weather information.
A self-hosted MCP server that crawls, indexes, and searches documentation from any website locally, including private sites requiring authentication. It provides hybrid search capabilities and local embedding generation to maintain privacy while keeping AI assistant knowledge up to date.
A lightweight MCP server for web searching via DuckDuckGo and extracting page content as Markdown.
Enables web searching via Google Search and AI Mode, plus advanced web scraping capabilities including content extraction in multiple formats, link extraction, and batch scraping of multiple URLs.
Enables AI assistants to create, read, and manipulate Microsoft Word documents with comprehensive formatting, table creation, content management, and document protection capabilities. Supports advanced operations like merging documents, PDF conversion, and rich text formatting through a standardized interface.
An MCP server that enables text extraction and replacement in Microsoft Word documents by directly automating the Word application on Windows. It supports processing content across headers, footers, tables, and shapes using the pywin32 library.
MCP Server for fething yfinance financial data into Claude Desktop
A MCP stdio server shim around common yFinance calls.
Enables AI assistants to search the web, get news, perform research, and retrieve AI-powered answers with citations using the You.com API.
A Model Context Protocol server that enables retrieval of transcripts, metadata, and subtitles from YouTube videos. It supports multiple languages, automatic paragraph segmentation, and video downloading to facilitate content analysis and processing.
MCP Server for ZeroEntropy collections, top documents and rerankers
An MCP server that provides offline access to ZIM file archives, including Wikipedia, medical knowledge, and maps. It dynamically exposes tools like search, article retrieval, and driving route planning based on available ZIM files.
Enables converting Markdown text into high-quality 3:4 ratio JPG images using multiple rendering backends. Supports intelligent fallback between imgkit/wkhtmltopdf, markdown-pdf, and PIL rendering engines with customizable styling options.
Bidirectional Markdown ↔ Word (.docx) converter. Read Word documents directly into Claude as Markdown, or save Claude's output as a properly formatted .docx with heading styles (Title, Heading 1–9), bold, italic, tables, lists, code blocks, and images. No cloud upload — runs entirely on your machine using python.
MCP server for MDMA (Markdown Document with Mounted Applications) — interactive Markdown with forms, approval gates, tables, and more. Exposes the MDMA spec, authoring prompts, package metadata, and live docs to AI assistants so agents can author and integrate MDMA correctly.
