"Methods to Store and Learn Dynamic Context Memories" matching MCP servers:

A Model Context Protocol (MCP) server that injects 'Just-in-Time' context into AI conversations based on file paths and glob patterns.

Captures code build sessions and publishes them to a shared team knowledge base, making past work discoverable via semantic search.

An MCP server for agent-guided DSA practice that generates LeetCode-style problems and provides tutoring with escalating hints, concept explanations, and progress tracking.

Creates a summary of photos from Apple Photos, generating a personalized year-in-review wrapped experience based on your photo library.

An MCP server that gives desktop AI apps access to your Waterloo LEARN courses, enabling listing courses, getting announcements, content, grades, and upcoming events through natural language.

Enables AI assistants to browse your own university courses by downloading files, slides, announcements, deadlines, grades and lecture transcripts to your machine, then answering questions and searching across them through MCP tools. It logs in with your own account and refreshes only what changed.

Provides a standardized interface for interacting with Scikit-learn models and datasets, enabling training, evaluation, and model management through natural language.

A Model Context Protocol (MCP) server that enables secure execution of shell commands with a dynamic approval system, audit logging, and command revocation.

Enables users to record Windows desktop and browser workflows once and generate replayable Cursor Skills, using Playwright MCP and Windows Computer MCP for semantic, non-coordinate replay.

An MCP server that scans code repositories for app store rejection risks by mapping API usage to required declarations and policy deadlines, enabling agents to catch issues before submission.

Provides AI coding assistants with persistent memory, AST-based project indexing, and tools for live context management and hallucination detection. It enables saving lessons to local files, trimming conversation history, and verifying code symbols to prevent errors.

Manage multiple Shopify stores through 55 tools with explicit store selection and separate credentials. Includes products, collections, inventory, discounts, images, reports, interactive results, and temporary storefronts with Shopify claim links.

A minimal MCP server that lets an MCP client run shell commands on remote hosts over SSH, with host, key, user, and port chosen per call.

A dynamic MCP server that automatically discovers Python files in a directory and exposes them as tools to any MCP-compatible AI client, allowing users to easily create and deploy custom AI tools.

Enables interactive reincarnation storytelling where users choose their path after death, becoming characters like a vengeful spirit, Bilbo Baggins, or Monkey D. Luffy. Features dynamic narrative generation with personalized story paths based on user choices and soul-searching questions.

A local-only MCP server that uses SQLite to store, search, and manage a personal library of AI prompts. It enables developers to organize and reuse prompts across multiple AI clients like Claude and Cursor while keeping all data on their local machine.

MCP server for managing and controlling multiple isolated Chrome/Edge browser instances, exposing tools for navigation, screenshots, clicking, form filling, and JavaScript execution to AI clients.

A lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.

Enables AI agents to browse a yoga apparel catalog and complete purchases through authenticated JSON/MCP checkout, with identity, mandate, budget, and payment gates.

Enables AI tools like GitHub Copilot to manage and persist context using a local JSON-based memory store. Provides CLI, MCP server, and VS Code integration for storing, retrieving, and managing context entries.