"Scraping Langchain and Langgraph documentation" matching MCP servers:

A weather MCP server that geocodes city names and fetches live weather from Open-Meteo, enabling a LangGraph agent to answer weather queries.

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Provides access to Hong Kong climate and weather data from the Hong Kong Observatory, including current conditions, forecasts, warnings, tides, and more.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

A journey-planning MCP server that manages itineraries including journeys, city stops, and plan items with CRUD operations and weather lookup.

Enables real-time weather lookup for any location via MCP, returning concise summaries from wttr.in.

MCP server offering web scraping, news headlines, weather, and daily quote tools, integrated with a LangGraph agent and Chainlit chat UI.

Demonstrates OAuth2/OIDC authentication for MCP servers using Asgardeo, with JWT validation and a sample weather tool to showcase secured API access.

An MCP server that provides weather forecast tools for Israel (via Playwright web scraping) and the USA (via NWS API), enabling LLM agents to answer weather queries in natural language.

Enables fetching current weather forecast for cities in Israel by scraping weather2day.co.il using Playwright.

Enables natural language weather queries for Israel and the USA, fetching real-time forecasts and alerts via web scraping and official APIs.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

Provides access to official MeteoSwiss weather data, including regional reports, daily forecasts, and website search functionality across multiple languages. It enables AI assistants to retrieve real-time weather information and documentation from MeteoSwiss using the Model Context Protocol.

Enables users to work out soil, mulch, compost, topsoil and potting mix volumes and bag counts for beds and pots, compare bagged versus bulk costs at their own prices, check what to sow each month, and see how often a town has had frost after Melbourne Cup Day. It runs as a read-only, stateless MCP server that connects directly inside Claude, ChatGPT, Cursor and VS Code.

Enables querying 7-day weather forecasts for Chinese cities and regions by scraping China Weather website data. Supports both user input and AI model intelligent city/region parameter matching.

Enables agents to pull live overnight forecasts for grower blocks and score frost risk with an itemised, versioned engine, returning cold-window start/end hours and a run-protection, stand-by, or no-action verdict. It also lets agents list blocks and sheets, create or update idempotent decision records, and replay their SHA-384 hash chain to verify nothing was altered.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

Enables real-time weather queries for Chinese and global cities via wttr.in, with support for both stdio and HTTP deployment.

Enables weather data retrieval and visualization with support for geocoding, multi-day forecasts, historical weather queries, and natural language processing through LangChain integration. Supports both current and historical weather data with interactive charts and multiple language support.