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A simple note storage system that allows creating, storing, and summarizing notes with customizable detail levels.
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Provides AI agents with persistent long-term memory capabilities using semantic search. Enables storing, retrieving, and searching memories through three core tools integrated with Mem0 and vector storage.
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A robust server for managing long-term agent memory using Mem0, providing efficient storage and retrieval of agent memories with a lightweight Python-based implementation.
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A powerful, production-ready context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it provides persistent, project-specific memory capabilities that enhance your AI's understanding and response quality.
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Enables AI assistants to remember user information across conversations using vector search technology. Built on Cloudflare infrastructure with isolated user namespaces for secure, persistent memory storage and retrieval.
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A cloud-based vector memory service that provides AI assistants with persistent storage, semantic search, and entity management via the Model Context Protocol. It features multi-tenant isolation and bidirectional synchronization with macOS and Google contacts and calendars.
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Enables persistent storage and retrieval of decisions, settings, and operational rules across chat sessions, maintaining context continuity and decision consistency for long-term development projects through structured memory management.
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A memo tool based on MCP protocol that helps developers quickly save and retrieve text information without interrupting their workflow.
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MCP Server面试鸭搜索题目的服务
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Enables AI agents to integrate Midtrans payments by providing comprehensive documentation, API references, and code examples for 15+ payment methods across 5 languages. Includes tools for generating charge requests, webhook handlers, and searching documentation without requiring API keys.
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An optimized Model Context Protocol server for document OCR processing using Mistral AI with support for high-performance batch operations and async connection pooling. It enables efficient extraction of text and tables from local files or URLs into structured markdown and HTML formats while minimizing token costs.
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Intercepts Claude conversations via MITM proxy and stores them in Mem0, enabling Claude to search and recall past conversations, learn user preferences, and maintain context across sessions.
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An MCP (Model Context Protocol) server providing access to 🇲🇩 Moldova's public procurement data through the MTender API. Features include searching tenders, accessing tender details, budget information, and funding sources - all following the Open Contracting Data Standard (OCDS).
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A simple MCP server that recalls and saves memories from and to Apple Notes.
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A Model Context Protocol (MCP) server to retrieve train schedules from National Rail
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Naver Map MCP Server
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A lightweight MCP server that fetches weather data from Naver and relays it to Claude or other AI agents.
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A private cloud storage system with Model Context Protocol integration that allows AI models to manage files through operations like searching, reading, and creating content. It features a complete web interface for user administration, storage quota management, and rich media previews.
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A learning-focused MCP server that demonstrates core MCP concepts through a simple notepad application, enabling users to create, update, delete, and search notes while exploring tools, resources, and prompts functionality.
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A personal knowledge management system built on the Model Context Protocol that transforms daily notes into organized, searchable knowledge.