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

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

An MCP server and CLI for step-by-step learning, enabling humans and agents to learn subjects like language tutoring through a structured prompt system.

Turns any topic into a structured lesson with intuition, examples, and spaced repetition, using no AI on the server side.

Enables AI assistants to generate product mockups by integrating with the Dynamic Mockups API. Supports browsing mockup catalogs, creating single or batch renders with design assets, and managing PSD templates.

Enables secure, runtime-authenticated MySQL database querying and mutation through dynamic tools, allowing AI assistants to list databases/tables, describe schemas, and perform CRUD operations.

Enables AI agents and MCP-compliant clients to dynamically shrink long-horizon context windows, pruning verbose tool outputs, HTML boilerplate, and semantic redundancy by roughly 40-70% without frontier LLM round-trips. Runs deterministically as a zero-dependency Python stdio server, accepting a payload plus optional compression and risk-bound options.

Enables MCP-compatible clients and autonomous agents to dynamically compress long-horizon context by pruning verbose tool outputs, HTML boilerplate, and semantic redundancy by 40-70%. It reduces token burn and latency through deterministic, zero-dependency processing.

Provides AI assistants with access to the Fake Store API for e-commerce prototyping and testing, enabling queries on products, carts, and users.

MCP server that scrapes app data from Google Play and Apple App Store, providing tools for search, details, reviews, and similar apps.

Enables querying and retrieving data from App Store and Google Play Store, including app details, reviews, ratings, rankings, permissions, and search capabilities across both iOS and Android platforms.

A Shopify UCP MCP endpoint that lets assistants search live catalog inventory for lab-grown diamonds, build an anonymous cart, open an unpaid checkout, and hand the buyer a link to pay. It also exposes eight diamond education tools and profile-injection for inventory lookup through a hosted helper.

Converts any OpenAPI v3 spec into an MCP server with typed tools, resources, and prompts, enabling AI agents to call any REST API via natural language.

Provides live web and document intelligence, including search, company news, scraping, crawling, structured extraction, document parsing, brand intelligence, screenshots, website monitoring, and batch jobs.

Connect AI clients to OpenAPI APIs quickly, with one MCP server, direct CLI access, and built-in auth support.

A flexible, extensible framework for building MCP servers with API key authentication, user management, and dynamic tool sharing.

Enables AI clients to read and write to a user-owned markdown bucket via S3-compatible storage, providing a persistent shared context layer across different AI tools.

An MCP server demonstrating sampling, where the server asks the host to run model calls, with a spend gate that estimates costs and refuses over-budget calls.

MCP server that enables an agent to spawn sub-agents (a crew) via a local tool, allowing delegation of large tasks to parallel workers with a human approval gate and efficient token usage.

Enables semantic search across documentation stored in Gemini FileSearchStores, returning AI-generated answers with source citations.