PU

puzzlebox

An MCP server that hosts finite state machines as dynamic resources that multiple clients can subscribe to and be updated when their state changes.

Created by cliffhall2025/03/29
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What is puzzlebox?

What is Puzzlebox? Puzzlebox is an MCP server that hosts dynamically configurable finite state machines (FSMs) for managing agent and team process states, allowing clients to subscribe and receive updates when their state changes. How to use Puzzlebox? To use Puzzlebox, clients connect to the server, register puzzles, and perform actions on these puzzles to change their states. Clients can subscribe to receive notifications about state changes. Key features of Puzzlebox? Manages multiple finite state machines as dynamic resources. Allows clients to subscribe/unsubscribe to individual puzzle states. Provides tools for adding puzzles, getting snapshots of their states, and performing actions that trigger state transitions. Use cases of Puzzlebox? Coordinating complex workflows among multiple agents. Managing project states in software development. Enabling real-time updates for collaborative tasks. FAQ from Puzzlebox? What is a finite state machine? A finite state machine is a computational model that can be in one of a finite number of states and can change states based on inputs. How do I add a new puzzle? You can use the add_puzzle tool to create a new instance of a puzzle. Can I get a snapshot of a puzzle's current state? Yes, you can use the get_puzzle_snapshot tool to retrieve the current state and available actions for a puzzle.

As an MCP (Model Context Protocol) server, puzzlebox enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use puzzlebox

To use Puzzlebox, clients connect to the server, register puzzles, and perform actions on these puzzles to change their states. Clients can subscribe to receive notifications about state changes. Key features of Puzzlebox? Manages multiple finite state machines as dynamic resources. Allows clients to subscribe/unsubscribe to individual puzzle states. Provides tools for adding puzzles, getting snapshots of their states, and performing actions that trigger state transitions. Use cases of Puzzlebox? Coordinating complex workflows among multiple agents. Managing project states in software development. Enabling real-time updates for collaborative tasks. FAQ from Puzzlebox? What is a finite state machine? A finite state machine is a computational model that can be in one of a finite number of states and can change states based on inputs. How do I add a new puzzle? You can use the add_puzzle tool to create a new instance of a puzzle. Can I get a snapshot of a puzzle's current state? Yes, you can use the get_puzzle_snapshot tool to retrieve the current state and available actions for a puzzle.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like puzzlebox can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like puzzlebox provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.