Sleep MCP Server

Pauses the execution of an agent for a specified duration.

This MCP server attempts to pause execution for a specified duration to control the flow of your agents. Enhance your automation by introducing timed delays, ensuring tasks are executed in the desired sequence. Ideal for managing workflows that require waiting periods between actions.

To install Sleep MCP for Claude Desktop automatically viaSmithery:

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

You can install the Sleep MCP server usingmcp-get:

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

MCP is still very new and evolving, we recommend following theMCP documentationto get the MCP basics up and running.

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

Optionally, it replace<MCP_SLEEP_TIMEOUT>with your timeout ( maximum time allowed to wait, default 60 seconds ):

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

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

This mode is useful to integrate with an MCP client that supports SSE (like a web app).
- sleep

- Pause execution for a specified duration to control the flow of your agents.
- Inputs:

- seconds(number, max timeout config value): Seconds it will take me to tell you to continue

To use this with Claude Desktop, add the following to yourclaude_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>" } } } }

If you are working locally add two environment variables to a.envfile in the root of the repository:

For local development, update your Claude Desktop configuration:

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

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

To prepare the package for distribution:

This will create source and wheel distributions in thedist/directory.

Note: You'll need to set PyPI credentials via environment variables or command flags:

- Token:--tokenorUV_PUBLISH_TOKEN
- Or username/password:--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD

docker build -t mcp/sleep -f Dockerfile .

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using theMCP Inspector.

You can launch the MCP Inspector vianpmwith this command:

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

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