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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.

🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.

Enables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.

A persistent local vector memory server that allows users to store and search project-specific context using LanceDB and local embeddings. It enables MCP-compliant editors to maintain long-term memory across different projects without requiring external API keys.

Provides persistent memory functionality for AI conversations by creating, managing and querying entities and relationships in a knowledge graph. Features SQLite storage, advanced search capabilities, and Windows auto-start integration for long-term AI memory retention.

Provides intelligent memory management capabilities using Qdrant vector database for semantic search and storage. Supports global, learned, and agent-specific memory types with markdown processing and duplicate detection.

Gives AI coding assistants persistent memory, safety controls, and project awareness by tracking coding sessions, protecting critical files from modifications, and managing approval workflows with automatic changelog generation.

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.

Enables AI assistants to maintain persistent conversations and context between sessions through automated saving and global installation across projects. Provides zero-configuration memory persistence with automatic conversation history preservation.

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.

A Model Context Protocol (MCP) server that provides persistent memory capabilities using OpenAI's vector stores, allowing AI assistants to save and search through memories across conversations.

MCP Memos

A memo tool based on MCP protocol that helps developers quickly save and retrieve text information without interrupting their workflow.

An MCP server that provides AI agents with real-time and historical Bitcoin network data by wrapping the mempool.space WebSocket and REST APIs. It enables tracking addresses, monitoring blocks, and retrieving transaction details or fee estimates through natural language.

Digital identity layer for AI — your bio, career, skills, interests, and projects always available to every AI tool. Auto-generates profile from 342+ public APIs, 13 real-time plugins, YAML-based profiles with privacy-first local storage.

MCP Mesh

A Server Proxy MCP Request To HTTP.

Retrieves historical prediction data, community forecasts, and user comments from Metaculus forecasting platform with strict date filtering to prevent future information leakage for backtesting applications.

A Model Context Protocol server that enables Claude and compatible AI assistants to perform multi-dimensional searches (web, documents, scholarly articles, images, videos, podcasts) and parse webpage content using the Metaso AI search engine.

A cross-platform integration server that enables interaction with the MetaTrader 4 trading platform for account management, market data retrieval, and order execution. It facilitates remote Expert Advisor development, compilation, and backtesting through an HTTP bridge and specialized MQL4 scripts.

MCP server for the mGBA Game Boy Advance emulator. Read and write GBA memory, inject button presses, take screenshots, save/load state, and step the emulator through a Lua bridge.

Exposes 7 read-only MCP tools for Magalu Cloud products (block storage, virtual machines, Kubernetes, etc.) using authenticated mgc CLI commands, enabling natural language queries about cloud resources.