"MobX-State-Tree" matching MCP servers:

Exposes your todo-tree task list as MCP tools for reading and managing tasks via MCP-compatible AI clients like Claude Desktop.

MCP server that gives LLMs full visibility into your ws-cli workspace tree, enabling queries about workspaces, git status, tasks, and saved browser tabs.

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

Enables AI tools to collaboratively write novels by managing chapters, characters, and story state through commands like validate, context, draft, review, and approve.

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

A small MCP server that stores and retrieves compact decision-relevant state (goals, constraints, facts, decisions) outside the chat context, enabling easy retrieval for Claude Code or Codex.

Enables MCP clients to manage Super Productivity tasks, projects, and tags via its Local REST API, including task creation, updates, starting, stopping, archiving, and reading status and Focus Mode state.

Enables AI agents to manage task state through MCP, including creating, updating, and tracking tasks, with support for client-side encryption and secure local credential storage.

A stateless MCP server for AI film and video production that tracks project state, shot status, and updates, enabling consistent characters and continuity across generative video tools.

Exposes a filesystem-driven four-lane kanban board as a read-only MCP server, enabling agents to inspect board state, card details, and lane counts.

Enforces engineering governance for AI-driven software projects, ensuring state over prompt, freeze over generate, and audit over output through the 5S workflow.

Transforms AI agents into spec-driven product engineers by managing the software project lifecycle through requirements, design, implementation, and archiving phases with state-aware MCP tools.

Enables AI agents to maintain project continuity through a file-based state hub with tasks, phases, and handoff snapshots. Provides MCP tools for reading and updating project state, with gatekeeping enforced via real-state evaluation and per-tool authorization.

Enables AI agents to coordinate through a durable local board with shared state, ticket lifecycle, evidence-based approvals, and journal-woken handoffs.

MCP server for managing workflow topology graphs as pure YAML files, enabling AI agents to read, create, claim, and update task nodes with a strict state machine.

A project state control plane for multiple AI agent sessions to share structured conclusions such as tasks, checkpoints, code maps, decisions, and handoffs. It enables agents to read and write persistent project state via MCP tools while humans track progress through a lightweight panel.

Enables AI agents to manage task state over MCP, including statuses, dependencies, leases, and versioning, with a token-efficient wire format and SQLite storage.

Enables AI agents to securely read, plan, and sync real trips from the Trek WeChat mini-program via authenticated remote MCP, supporting tools for itinerary management, reservations, and file attachments.

A remote MCP server that maintains project focus on a north star goal, enabling seamless handoff across chat sessions by sharing state via Cloudflare D1 SQLite.

Read-only MCP server exposing curated Makersmiths Forge operating state (budgets, backlog, reports, deploy status) to MCP clients via allowlisted files from a private GitHub repo.