An agent-capable MCP server with terminal access, filesystem control, and persistent memory. It includes sandboxing, access control, activity logging, and a file-backed memory store for context across conversations.
A production-grade, type-safe MCP server for memory forensics via Volatility 3, enabling LLM-assisted incident response without timeouts or evidence spoliation.
Provides safe, read-only access to memory analysis and debugging functionality through the Model Context Protocol, allowing users to examine computer memory for software development, security research, and educational purposes.
A lightweight Model Context Protocol server that provides an in-memory key-value store with get, set, delete, list, and clear operations for MCP-compatible AI assistants and clients.
An MCP server offering hybrid memory recall and continuity tools for AI agents. It also provides a governance gateway that pre-approves risky shell/file/git actions before execution.
Enables AI agents to diagnose Linux server incidents by collecting and structuring system diagnostics from multiple servers via SSH, with tools for finding incident clusters, gathering context (memory, CPU, swap, etc.), and running arbitrary commands.
A modular MCP server that provides AI agents with cognitive memory, local system access, and secure remote execution capabilities through three integrated layers (Brain, Master, Remote).
Exposes baby-gpt's tools (shell, filesystem, search, memory, GitHub integration, etc.) to Claude Desktop or Cursor, enabling natural language interaction with these capabilities.
An all-in-one MCP server for local LLMs that provides live web access, math, shell/code execution, filesystem access, memory, and RAG over local files using LM Studio embeddings.
A locally-running Python REPL server that integrates with Claude Desktop through the Model Context Protocol, offering shell bridge, streaming, and operational memory features for secure code experimentation and system automation.
Enables interaction with MariaDB databases through secure read-only operations. Supports database exploration, schema inspection, and SQL query execution with comprehensive logging and connection pooling.
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AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.