"Searching for personal use Minecraft Pocket Edition (MCPE) servers" matching MCP servers:

Enables LLMs to read a user-owned, local-first memory store kept in a portable folder (USB, SSD or laptop), with per-profile permissions limiting what each client can see and access cut off when the pocket is locked or unplugged. Also lets models propose new memories for the user to review and approve, keeping provenance and keeping canonical memory free of direct model writes.

Enables an AI assistant to keep every conversation verbatim in a local SQLite store and recall the most relevant past turns on demand, using hybrid keyword and embedding search plus time-awareness. Results are packed into a small token budget (2k–8k tokens) so long histories fit modest context windows, with secrets masked before storage.

Japan Operations OS for AI agents — 14 knowledge domains covering regulations, protocols, calendar, travel, food culture, language, disaster safety, daily life, and persistent memory. 31 MCP tools via REST + Streamable HTTP.

Persistent memory storage using SQLite for AI agents to store, search, update, and manage contextual memory via the Model Context Protocol.

A personal AI memory service based on MCP protocol that provides long-term memory capabilities for various AI clients.

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

Provides persistent personal context storage across AI conversations, allowing AI assistants to remember user preferences, project conventions, and other personal information between sessions.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

Stores personal context as markdown files and exposes them via MCP for AI assistants to retrieve user preferences, skills, and background.

Saves the user's exact words as immutable, SHA-256-hashed captures before anything else, then derives events, entities, context cards, and causal hypotheses — every fact traceable to its verbatim source. Local-first personal memory for Claude Code, Codex, and any MCP client.

Enables querying, listing, and summarizing personal knowledge base documents using RAG with hybrid search and LLM.

Aggregates your digital footprint (GitHub, blogs, resume) into a single AI-readable profile and exposes it via MCP tools so AI agents can query your context live.

Provides a single-user, append-only, queryable memory store for dated facts with provenance, enabling Claude to persist and correct personal information across conversations via an MCP interface.

Private knowledge base with Markdown pages and assets, exposed via MCP for agent access.

Enables a local-first Codex plugin to maintain durable OKF memory, manage scoped project and personal context, and perform reviewed selective encrypted exports and recovery.

Enables MCP clients to use a FalkorDB-backed LinkedIn network graph as agent memory, with tools to remember people and notes, find entities, run read-only Cypher questions, and forget facts, alongside a 3D network viewer.

A PostgreSQL-backed MCP server for long-term personal memory, enabling context retrieval, memory saving, and read-only SQL queries for personal data.

A personal-life database with 47 tools across 13 domains, enabling semantic search and retrieval of memories, food, home, health, and more from any MCP-aware AI client.

Enables AI clients to operate a personal LINE account through MCP, listing friends and groups, retrieving and searching message history, and sending text, mentions, and registered media. Also supports group creation, display-name changes, and reply drafting based on owner-approved conversation history.

A portable, AI-agnostic second brain that stores typed memories with semantic recall and self-learning re-ranking, exposed to any MCP-capable AI as a local server.

A personal knowledge MCP server with vector database for the Opencode ecosystem. It enables semantic search, tag organization, and session memory logging, all running locally without external API keys.

A personal desktop automation MCP server providing tools for screen/mouse/keyboard control, Windows UI automation, headless browser automation, file management, app execution, clipboard management, and a personal SQLite database for todos, notes, and habits.

Lets AI clients store, retrieve, update, and forget long-term facts in a local SQLite database with deterministic lexical search, sharing the same memory across multiple clients without relying on model APIs or embedding services.

A privacy-first memory layer for AI that securely bridges local knowledge with AI assistants through MCP tools, with intelligent redaction and local vector database.

A local MCP server that gives AI assistants a long-term memory by capturing sessions verbatim and surfacing relevant context automatically.

Auto-captures decision context from multi-agent workflows to preserve the 'why' behind every choice. Enables task traceability, reasoning retrieval, and continuous improvement across planning and implementation sessions.

Enables assistants to append immutable, dated assertions and query what was known at a historical cutoff, using namespace-scoped hybrid FTS5/BM25 plus cosine retrieval that excludes future revisions. Exposes search, history auditing, status, and optional write/forget tools over a local stdio MCP server.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes through Claude Desktop.

This server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.

Provides AI assistants with persistent, graph-based memory using Neo4j, enabling semantic search and complex relationship tracking. It features specialized Cloudflare Access support for secure remote connections and isolated multi-database management for different projects.