FAQ: Sleep MCP Server

Q: What is the Sleep MCP Server? A: The Sleep MCP Server is a tool that allows you to pause the execution of an AI agent for a specified duration. It helps in controlling the flow of your agents by introducing timed delays.

Q: How do I install the Sleep MCP Server? A: You can install it using MCP package managers like Smithery or mcp-get. Use the following commands:

• Smithery: npx @smithery/cli install @AgentsWorkingTogether/mcp-sleep --client claude
• mcp-get: npx @michaellatman/mcp-get@latest install mcp-sleep

Q: What are the prerequisites for using the Sleep MCP Server? A: You need Claude Desktop and uv installed.

Q: How do I configure the Sleep MCP Server with Claude Desktop? A: Create or modify the claude_desktop_config.json file in the appropriate directory for your OS (MacOS or Windows) and add the server configuration.

Q: Can I set a maximum timeout for the sleep duration? A: Yes, you can set a maximum timeout value in the claude_desktop_config.json file using the MCP_SLEEP_TIMEOUT environment variable.

Q: What is SSE mode and how do I use it? A: SSE (Server-Sent Events) mode allows you to integrate the Sleep MCP Server with web applications or other MCP clients that support SSE. You can run the server in SSE mode using the command: uvx mcp-sleep --transport sse

Q: What tool does the Sleep MCP Server provide? A: The Sleep MCP Server provides a sleep tool.

Q: What inputs does the sleep tool accept? A: The sleep tool accepts one input: seconds (a number representing the duration to pause, up to the configured timeout value).

Q: How can I use the Sleep MCP Server with Docker? A: You can configure Claude Desktop to use a Docker container running the Sleep MCP Server. See the Docker configuration example in the documentation.

Q: How do I debug the Sleep MCP Server? A: It is highly recommended to use the MCP Inspector. Launch it using: npx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-sleep run mcp-sleep

Q: Where can I find more information about UBOS? A: Visit the UBOS website at https://ubos.tech for more information about our AI Agent Development Platform.