"memory" matching MCP servers:

A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.

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

Hardware probe MCP server that provides deep hardware inventory and live sensor telemetry for AI agents, including CPU, memory, disk, GPU, and sensor data across platforms.

Enables AI assistants to monitor and manage Linux infrastructure including services, logs, processes, disk, memory, ports, cron, nginx, Docker, and system health checks via the Model Context Protocol.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

Enables MCP-based interaction with a local Hermes Agent installation, providing file read/search, skill management, and optional sandboxed write, terminal, and memory tools.

Enables AI assistants to flash firmware, program memory, modify option bytes, erase chips, reset boards, and capture SWO printf traces for STM32 microcontrollers via STM32CubeCLT.

Sandboxed bash execution MCP server for AI agents, using an in-memory virtual filesystem overlay to prevent real filesystem damage, with configurable network access, timeouts, and optional Python/JS runtimes.

Provides Ubuntu system information (CPU, memory, disk, network, services, processes) to Bob via natural language queries.

Enables AI coding assistants to capture large command outputs into an ephemeral in-memory buffer and search them via hybrid BM25 and semantic retrieval with line-level context.

Bridges AI agents to a DOSBox emulator, enabling control of DOS programs via MCP tools for typing, screen reading, video capture, Lua scripting, and memory access.

FastMCP wrapper for Sysinternals CLI tools, enabling system diagnostics like process listing, handle inspection, and memory analysis through natural language.

Enables AI assistants to start and manage LLDB debugging sessions, including loading programs, setting breakpoints, stepping through code, and examining memory.

Provides local desktop agents with durable project memory and safety gates for writing long novels, enabling continuity management, chapter drafting, and state-aware handoffs.

A FastMCP-based tool for monitoring server statistics that retrieves CPU, memory, and uptime information from both local and remote servers via SSH.

Turns an Agent client into a local-first workbench with tools for files, grep, patching, commands, web search fallback, memory recall, and model-backed agent tasks.

Enables remote Linux operations over Streamable HTTP, allowing MCP clients to read/write files, run shell jobs, keep disk memory, and activate operator-authored TypeScript tools, with operator confirmation for every tool call.

Enables an AI assistant to drive a Color Computer 3 emulated in MAME, including entering BASIC commands, mounting disk images, capturing screen snapshots, and peeking/poking memory.

Enables MCP-compatible AI clients to run curated Kali Linux security tools such as nmap, gobuster, nikto, sqlmap and netcat inside an isolated microVM sandbox. Commands execute as asynchronous jobs with readable output, cancellation and persistent per-workspace storage, with configurable network, CPU and memory limits.

MCP server for live process memory introspection and debugging on Linux x86_64. Enables reading/writing process memory, searching patterns, ptrace attach/registers, running commands, and valgrind execution.