"MobX-State-Tree" matching MCP servers:

A Model Context Protocol (MCP) server that enables structured multi-path investigations using a Tree of Thoughts approach.

Shared versioned state for multi-agent AI workflows. An MCP server.

An atomic key-value store for AI agent coordination, ensuring agents always work with the latest state.

Enables long-horizon AI agents to replace append-only conversation history with a formal, bounded state tuple, supporting state initialization, step execution with transactional rollback, observation injection, and session inspection.

Gaia MCP enables AI agents to discover, evaluate, and install trusted skills from the Gaia Skill Tree, providing evidence-backed recommendations and safe workspace integration.

24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.

Persistent operational state for AI agents. Decisions, plans, priorities, and patterns that survive across sessions. Not conversation logs; structured project state with enforcement.

Enables AI agents to drive a Linux/X11 desktop via AT-SPI accessibility-tree perception and element-level actions, avoiding screenshots and coordinate clicking.

Enables AI coding agents and IDEs to execute ASIC physical design flows including floorplanning, placement, clock tree synthesis, routing, and static timing analysis through the OpenROAD engine, returning concise low-token JSON metrics.

A reasoning orchestration MCP server that enables tree-of-thoughts thinking, multi-phase planning, and multi-agent evaluation for complex problem-solving.

Provides state and log management tools designed for long-lived AI agents that may be interrupted and resumed. It enables tracking agent progress and maintaining an append-only event history to ensure continuity across multiple sessions.

AI-powered penetration testing reasoning engine (MCP server) for attack path planning, step scoring, and tool recommendations using Beam Search and Monte Carlo Tree Search.

An MCP server that lets an AI agent drive the iOS Simulator in a loop, enabling tapping, typing, swiping, reading the screen via the accessibility tree, and verifying app state.

Provides coding agents with persistent, evidence-backed project memory and knowledge across sessions, using a structured memory tree and local knowledge base.

The industry-standard persistent memory and state manager for long-running agentic workflows.

Enables an agent to see and operate a GNOME Wayland desktop like a human, including screenshots, mouse/keyboard control, accessibility tree access, OCR, clipboard, and audio listening.

A task management system for LLM-based agents that stores all tasks in a single tree, available immediately after the server starts.

Implements the Tree of Thoughts framework for structured reasoning and decision tree exploration, enabling LLMs to explore multiple reasoning paths, evaluate them, and backtrack.

A Model Context Protocol (MCP) server that enables Claude to use Monte Carlo Tree Search algorithms for deep, explorative analysis of topics, questions, or text inputs.

Provides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.