"Information about memory" matching MCP servers:

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

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.

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

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.

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

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

Enables AI agents to perform low-level Windows process memory research, including process attachment, memory scanning, reading/writing, pointer chasing, remote code execution, and inline hooking via MCP tools and Lua scripting.

MCP server to provide Sketch layout information to AI coding agents like Cursor

Enables WebGPT to delegate durable coding-project tasks to a local Luna worker over MCP, managing sessions, tools, permissions, memory, and recovery while preserving at-most-once execution.

MCP server for Cheat Engine 7.6 that enables AI agents to perform memory scanning, reading/writing, process manipulation, debugging, and code injection via a Lua named pipe bridge.

CCR gives MCP-capable AI agents persistent project memory, strategy playbooks, and a sandboxed Python REPL.

Exposes the Nodus orchestration runtime as MCP tools for memory management, goal/workflow execution, and sandboxed code execution.

A Model Context Protocol server that enables Claude AI to interact with Paybyrd's payment processing API, allowing for creating payment links, processing refunds, and retrieving order information.

Enables AI agents to run arbitrary Python scripts on Modal's serverless infrastructure with on-demand CPU, memory, and GPU resources, providing scalable compute without maintaining always-on servers.

Persistent memory and pattern learning for AI coding assistants via MCP.

Enables Claude Code to build, flash, and communicate with STM32 hardware over SWD and serial, including multi-board management, live memory monitoring, and hardware sequences.

Provides AI agents with tools to retrieve live system statistics (CPU, memory) and safely evaluate basic arithmetic expressions.

Connects LLMs like Claude Desktop with Volatility3 forensics framework, enabling users to analyze memory dumps, detect malware, and perform memory forensics tasks through natural language conversation.

A multi-agent system that connects a math server and weather server, allowing users to perform mathematical operations and retrieve weather information based on the numerical results.

A starter template for building Model Context Protocol (MCP) servers using TypeScript and Zod for schema validation. It provides a foundational structure and examples for implementing custom tools and resources, such as calculators and system information endpoints.