Empower AI models with external capabilities like web search, persistent memory, and real-time weather information.
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This repository provides a collection of Model Context Protocol (MCP) servers designed to extend the functionalities of AI models, particularly for platforms like LocalAI. These servers offer specialized tools such as a DuckDuckGo web search, a global weather information service, and a persistent memory storage for AI agents. This enables models to interact with the real world, gather up-to-date information, and maintain context across sessions, serving as practical examples and a foundation for implementing MCP clients in any compatible system.
Características Principales
01Provides external web search capabilities via DuckDuckGo.
02Offers real-time and multi-day weather forecasts globally.
03Includes a persistent memory storage for AI models.
04Supports add, list, remove, and search operations for memory entries.
05Ensures input/output validation using JSON schema for all tools.
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Casos de Uso
01Provide examples and a foundation for developing new MCP servers.
02Extend AI model capabilities with real-time external data.
03Enable AI agents to remember information and maintain context across sessions.
