"Information About Persistent Memory" matching MCP servers:

Enables AI assistants to execute Julia code efficiently with persistent sessions, avoiding startup costs and maintaining state across calls.

MCP server for Python build123d to help AIs develop and reason about 3D models and CAD

A general-purpose MCP server providing web search, persistent memory storage, and secure code execution capabilities. It enables AI agents to search the web, store and retrieve data, and run Python/JavaScript code in sandboxed environments.

A comprehensive learning project demonstrating MCP server implementation with tools for calculator operations, file management, and system information retrieval, including Google ADK integration patterns and best practices.

NEXUS enhances AI coding agents with semantic code indexing, context engineering, change impact analysis, persistent memory, safe execution, and deterministic orchestration through 31 MCP tools.

Enables any MCP-compatible AI agent to directly operate PixInsight through about 80 tools for opening and editing images, running processes, PixelMath, astrometry, and channel operations.

Provides AI assistants with persistent memory of your project architecture, development history, and technical decisions, allowing them to give context-aware coding help without needing repeated explanations.

A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools for calculations and greetings, plus system information resources.

A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.

Provides a secure, isolated JavaScript execution environment with configurable time and memory limits for safely running code from Claude.

MCP server for reverse engineering that enables interaction with IDA Pro for analysis tasks such as decompilation, disassembly, and memory engagement reports.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools like calculator and greeting functions, plus system information resources.

Provides Prolog logic programming integration for Claude via a Docker SWISH container, with persistent notebooks and cognitive architecture support.

Provides AI-driven development tools including file system operations, multi-language code analysis with tree-sitter, Git operations, code execution, and system information retrieval.

An MCP server that exposes Language Server Protocol features to external clients, allowing access to hover information, definitions, completions, references, and rename functionalities.

This MCP server integrates AI assistants with Cheat Engine on Windows, providing tools for process management, memory read/write, pointer resolution, AOB scanning, speedhacking, and Lua scripting via a local TCP connection.

Async Python REPL + Shell execution for MCP. Provides persistent state, background jobs, interactive input() bridging, and crash isolation in a single server.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.