"Information about PostgreSQL MCP (Managed Cloud Provider or other related concepts)" matching MCP servers:

Provides persistent tool context that survives across Claude Desktop chat sessions, automatically injecting tool-specific rules, syntax preferences, and best practices. Eliminates the need to re-establish context in each new conversation.

A static MCP server that helps AI models maintain tool context across chat sessions, preventing loss of important information and keeping conversations smooth and uninterrupted.

Persistent memory infrastructure for AI systems, running on Cloudflare's edge network with 28 MCP tools for semantic memory, emotional processing, identity continuity, and a subconscious daemon.

Provides AI agents and teams with self-hosted adaptive memory, combining hybrid search and a self-improving neural memory graph to enable precise recall and serendipitous discovery across MCP-compatible clients.

A minimal, tag-free personal memory system that syncs across all Claude interfaces (mobile, web, desktop, Claude Code). Built on Cloudflare's edge stack for zero-maintenance serverless operation.

Enables users to sign in with OAuth and build, page through, review, grade, and delete their own private flashcard deck through MCP tools. Per-user isolation is enforced in code, with per-account limits on card count, stored text, and tool calls per minute.

Enables AI clients to access a shared, authenticated memory and project management system with durable storage, task tracking, roadmaps, and semantic search, deployed on Cloudflare.

Zep Cloud MCP Server: Provides memory management via the Zep Cloud API. Enables storing and retrieving user preferences, procedures, and factual relationships through a knowledge graph. Supports fallback mode for reliable operation when API is unreachable.

A minimal, tag-free personal memory system that syncs across all Claude interfaces. Built on Cloudflare's edge stack for zero-maintenance serverless operation.

Token-optimized persistent memory MCP server for Claude Pro users, providing 9 essential tools for memory management with 87% token reduction compared to full version.

A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

Provides Claude with a persistent, auditable memory stored as markdown and YAML files in a private GitHub repo. Enables reading, appending, organizing, and messaging between agent conversations through MCP tools.

Serves as a universal interface between AI Agents and AnalyticDB PostgreSQL databases, enabling metadata retrieval and SQL execution, with additional capabilities for knowledge graph and LLM memory management.

Persistent memory and human approval for any AI agent. Give your AI agents the ability to remember across sessions and ask humans for approval before sensitive actions. Works with Claude, Cursor, OpenClaw, and any MCP-compatible client.

Enables AI assistants to store, score, recall, pin, sleep, wake, update, delete, and export memories with importance weighting, type-based decay, emotional valence/arousal, and dormant-memory reactivation through 14 MCP tools.

Local-first error memory for AI coding agents, enabling them to search past fixes before attempting new repairs and save verified cases as Markdown.

Enables AI agents to store and retrieve durable per-project codebase memories through budgeted briefings, hybrid semantic and keyword search, and linked memories over MCP.

Enables persistent cross-session memory for Claude and other AI agents by storing and automatically retrieving decisions, patterns, and knowledge across sessions. Supports self-hosted Redis/Valkey storage or a managed cloud service.

An MCP server that ingests books into a structured, cross-linked wiki of sources, entities, concepts, and syntheses, managed by an LLM.

Compiles an Obsidian knowledge graph into a queryable MCP server, allowing AI agents to search concepts, get nodes, and retrieve related information.

Enables AI agents to index, search, and retrieve architectural documentation and store self-learning notes from codebases.

Enables AI sessions like Claude, Cowork, and Claude Code to pass tasks and replies between each other through per-session mailboxes, and to keep a shared knowledge base of notes that every session can read, search, and update. Runs as a self-hosted Cloudflare Worker with D1 storage, so all data stays in the user's own account.

Enables Claude and other AI agents to store and retrieve persistent cross-session memories, decisions, and patterns across workspaces, even after session restarts or context compaction, using Redis/Valkey or managed cloud storage.

Enables Claude and other AI agents to persistently store, retrieve, and organize memories across sessions, surviving restarts and context compaction, with optional team sharing via managed cloud or self-hosted Redis/Valkey storage.

Enables Claude and other AI agents to persistently store and retrieve decisions, patterns, and knowledge across sessions, surviving context limits, restarts, and compaction through self-hosted Redis/Valkey or a managed cloud backend.

MCP server providing shared working memory for collaborative AI agents, with real-time notes and LLM-consolidated structured memory bank.

Enables agents to interact with OKF bundles: browse, search, read concepts, and audit trust and freshness.

Provides tools for managing student knowledge graphs, enabling structured representation of courses, assignments, exams, concepts, and study resources.

A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.