UBOS Asset Marketplace: Sleep MCP Server - Precision Timing for Your AI Agents

In the dynamic realm of AI-driven automation, timing is everything. Orchestrating complex workflows requires precise control over the sequence and duration of tasks. The Sleep MCP Server, available on the UBOS Asset Marketplace, offers a robust solution for introducing timed delays into your AI agent executions, ensuring seamless and synchronized operations. This server isn’t just about pausing; it’s about strategically managing the flow of information and actions within your multi-agent systems.

What is an MCP Server?

Before diving into the specifics of the Sleep MCP Server, let’s clarify what an MCP (Model Context Protocol) server is. MCP is an open protocol designed to standardize how applications provide context to Large Language Models (LLMs). In essence, an MCP server acts as a bridge, enabling AI models to access and interact with external data sources, tools, and services. This interaction allows AI agents to perform tasks that require real-world data or interaction, significantly expanding their capabilities.

The Sleep MCP Server: A Deep Dive

The Sleep MCP Server is a specialized tool that allows you to pause the execution of an AI agent for a specified duration. This is crucial in scenarios where tasks need to be executed in a specific order, or when waiting for external processes to complete. By introducing timed delays, you can fine-tune your AI workflows, ensuring that each step is executed at the optimal moment.

Key Features:

• Precise Timing Control: The server allows you to specify the exact duration for which the agent should pause, giving you granular control over the timing of your workflows.
• Workflow Orchestration: By introducing timed delays, you can orchestrate complex workflows with multiple agents, ensuring that tasks are executed in the correct sequence.
• Integration with Claude Desktop: The server seamlessly integrates with Claude Desktop, a popular platform for building and deploying AI agents.
• Easy Installation: The server can be easily installed using MCP package managers like Smithery or mcp-get.
• Configuration Options: You can configure the server to set a maximum timeout value, preventing agents from being paused indefinitely.
• SSE Mode: The server can be run in SSE (Server-Sent Events) mode, allowing you to integrate it with web applications and other MCP clients that support SSE.

Use Cases:

• Data Synchronization: When working with external data sources, you may need to wait for data to be synchronized before proceeding with the next step in your workflow. The Sleep MCP Server can be used to pause the agent until the data is ready.
• API Rate Limiting: Many APIs have rate limits that restrict the number of requests that can be made within a certain time period. The Sleep MCP Server can be used to introduce delays between API calls, ensuring that you stay within the rate limits.
• Human-in-the-Loop Workflows: In some cases, you may need to involve human input in your AI workflows. The Sleep MCP Server can be used to pause the agent while waiting for human input.
• Sequential Task Execution: For tasks that must be performed in a specific order, the Sleep MCP Server ensures each stage begins only when the previous one is complete.
• Resource Management: Optimize system resource usage by strategically pausing agents during periods of high demand.

Installation and Configuration

Installing and configuring the Sleep MCP Server is a straightforward process. Here’s a step-by-step guide:

1. Installation:

You can install the server using either Smithery or mcp-get.

• Smithery:

  bash npx @smithery/cli install @AgentsWorkingTogether/mcp-sleep --client claude

• mcp-get:

  bash npx @michaellatman/mcp-get@latest install mcp-sleep

2. Prerequisites:

Before installing the server, make sure you have the following prerequisites:

• Claude Desktop
• uv

3. Configuration:

After installing the server, you need to configure Claude Desktop to use it. To do this, create the following file depending on your operating system:

• MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%/Claude/claude_desktop_config.json

Paste the following template into the file:

{ “mcpServers”: { “mcp-sleep”: { “command”: “uvx”, “args”: [ “mcp-sleep” ], } } }

Optionally, you can replace <MCP_SLEEP_TIMEOUT> with your desired timeout value (in seconds). The default timeout is 60 seconds.

{ “mcpServers”: { “mcp-sleep”: { “command”: “uvx”, “args”: [ “mcp-sleep” ], “env”: { “MCP_SLEEP_TIMEOUT”: “<MCP_SLEEP_TIMEOUT>” } } } }

4. Restart Claude Desktop:

After configuring Claude Desktop, restart it for the changes to take effect.

SSE Mode

Alternatively, you can run the MCP server in SSE mode by running the following command:

bash uvx mcp-sleep --transport sse

This mode is useful for integrating with MCP clients that support SSE, such as web applications.

Using the Sleep MCP Server

The Sleep MCP Server provides a single tool: sleep.

Tool: sleep

• Description: Pauses execution for a specified duration.
• Inputs:
  • seconds (number, max timeout config value): The number of seconds to pause the agent.
• Returns:
  • A message indicating that the agent has been paused for the specified duration.

Example Usage with Claude Desktop:

To use the Sleep MCP Server with Claude Desktop, add the following to your claude_desktop_config.json:

{ “mcpServers”: { “mcp-sleep”: { “command”: “docker”, “args”: [ “run”, “-i”, “–rm”, “-e”, “MCP_SLEEP_TIMEOUT”, “mcp/sleep” ], “env”: { “MCP_SLEEP_TIMEOUT”: “<MCP_SLEEP_TIMEOUT>” } } } }

Development and Debugging

For local development, you can configure Claude Desktop to use a local version of the server. Add the following to your claude_desktop_config.json:

{ “mcpServers”: { “mcp-sleep_local”: { “command”: “uv”, “args”: [ “run”, “–directory”, “/path/to/your/mcp-sleep”, “run”, “mcp-sleep” ] } } }

To debug the server, it is highly recommended to use the MCP Inspector. You can launch the inspector using the following command:

bash npx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-sleep run mcp-sleep

UBOS: Empowering AI Agent Development

The Sleep MCP Server is a valuable asset for developers working with the UBOS platform. UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model, and create sophisticated Multi-Agent Systems.

By leveraging the Sleep MCP Server in conjunction with the UBOS platform, you can create highly sophisticated and efficient AI-driven workflows. Imagine AI agents that seamlessly interact with external systems, performing tasks with precise timing and coordination. This level of control opens up a world of possibilities for automating complex business processes and unlocking the full potential of AI.

Key Benefits of Using UBOS:

• Simplified AI Agent Development: UBOS provides a user-friendly interface for building and deploying AI agents, even without extensive coding experience.
• Seamless Integration: UBOS seamlessly integrates with various data sources, tools, and services, allowing you to connect your AI agents to the real world.
• Scalability: UBOS is designed to scale with your needs, allowing you to deploy and manage a large number of AI agents.
• Security: UBOS provides robust security features to protect your data and AI agents.
• Collaboration: Foster teamwork with collaborative features, allowing multiple users to work on the same AI agent projects simultaneously.

Conclusion

The Sleep MCP Server is a powerful tool for anyone looking to introduce precise timing control into their AI agent workflows. Whether you’re synchronizing data, managing API rate limits, or orchestrating complex tasks, this server provides the flexibility and control you need. Combined with the UBOS platform, the Sleep MCP Server empowers you to build sophisticated and efficient AI solutions that can transform your business.

Explore the UBOS Asset Marketplace today and discover how the Sleep MCP Server can help you unlock the full potential of AI.