"Finding the Best Tool for Memory Context Across Agentic Sessions Using Augment Code" matching MCP servers:

An India-focused MCP server that provides real-time weather conditions, forecasts, air quality data, and location search capabilities using the OpenWeatherMap API.

An MCP server that lets users find nearby shops and POIs around a location and find targets such as gas stations or charging points within a given radius along a driving route, using the Amap (Gaode) Web Service API with built-in API key entry and validation.

Enables to query real-time weather information for any city worldwide by automatically geocoding city names and retrieving temperature, precipitation, and other data via Open-Meteo APIs, seamlessly integrated with Claude Desktop.

Enables AI assistants and MCP clients to search Pyaterochka stores, browse categories, find products with filters for price, brand, and promotions, and retrieve product details, store hours, and promotion conditions through the exposed MCP tools.

Enables AI agents to retrieve a full UK postcode report, perform fast geography lookups, compare up to five postcodes side by side, and search or fetch the underlying open dataset registry through the Model Context Protocol.

Integrates the US National Weather Service API with Claude Desktop, enabling users to query current conditions and forecasts using natural language.

Enables searching student events, ticket prices, city guides and student deals across 85+ cities, plus consent-based actions to message the team or join a Halloween waitlist.

Provides weather data using Open-Meteo API with support for current weather, 24-hour forecasts, and 7-day forecasts for Turkish cities and coordinate-based queries.

Cloudflare Worker that deploys an MCP server providing a single tool to return a user's timezone based on their IP address.

A private location archive with an MCP server, letting an agent answer questions about your past stays, trips, cities, and travel stats from data in your own Postgres.

Enhances LLM responses by grounding them in official Google Maps Platform documentation and code samples via MCP tools for developing applications.

This MCP server helps people with disabilities plan accessible trips by fusing calendar events, transit accessibility data, venue info, and weather into a context package for AI assistants.

Enables AI agents to locate and track smart cordless tools, program torque and speed profiles, fetch telematics, and remotely lock or unlock tools based on jobsite geofences.

Enables lookup of Brazilian addresses by CEP (postal code) using the ViaCEP API, returning formatted address information including street, neighborhood, city, and state.

A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.

A lightweight microservice that fetches weather alerts and forecasts from the National Weather Service API, providing U.S. state-level alerts and location-based forecasts.

MCP server that resolves postal/ZIP codes to place names, states, and coordinates using Zippopotam.us. Free, no API key required.

Provides real-time air quality data (US AQI, PM2.5, PM10, ozone, NO2, SO2, CO) for any city via natural language, using free Open-Meteo data and a single tool.

Provides real-time South African load shedding data through the EskomSePush API. Enables users to check current load shedding stages, monitor API usage, and access area-specific schedules and searches with natural language queries.

MCP server for Starbucks — let AI agents search the menu, customize drinks, find stores, place mobile pickup orders, and manage Starbucks Rewards.