Sleep MCP Server
Pauses the execution of an agent for a specified duration.
Sleep MCP Server
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.
Setup
Installation
Using MCP package managers
Smithery
To install Sleep MCP for Claude Desktop automatically via Smithery:
npx @smithery/cli install @AgentsWorkingTogether/mcp-sleep --client claude
mcp-get
You can install the Sleep MCP server using mcp-get:
npx @michaellatman/mcp-get@latest install mcp-sleep
Prerequisites
MCP is still very new and evolving, we recommend following the MCP documentation to get the MCP basics up and running.
You'll need:
Configuration
1. Configure Claude Desktop
Create the following file depending on your OS:
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Paste this template in the file
{
"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>"
}
}
}
}
2. Restart Claude Desktop
SSE mode
Alternatively, you can run the MCP server in SSE mode by running the following command:
uvx mcp-sleep --transport sse
This mode is useful to integrate with an MCP client that supports SSE (like a web app).
Tools
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
- Returns: You will receive the sentence after {seconds} "You can continue to do your task after you've been waiting {seconds} seconds". If you enter a waiting time greater than the maximum time the result will be "My configuration does not allow me to make you wait more than {ctx.sleep.config.timeout} seconds"
Usage with Claude Desktop
To use this with Claude Desktop, add the following to your claude_desktop_config.json:
Docker
{
"mcpServers": {
"mcp-sleep": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_SLEEP_TIMEOUT",
"mcp/sleep"
],
"env": {
"MCP_SLEEP_TIMEOUT": "<MCP_SLEEP_TIMEOUT>"
}
}
}
}
Development
Config
If you are working locally add two environment variables to a .env file in the root of the repository:
MCP_SLEEP_TIMEOUT=
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"
]
}
}
}
Published Servers Configuration
"mcpServers": {
"mcp-sleep": {
"command": "uvx",
"args": [
"mcp-sleep"
]
}
}
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
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:
docker build -t mcp/sleep -f Dockerfile .
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-sleep run mcp-sleep
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Похожие серверы
Scout Monitoring MCP
спонсорPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
спонсорAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Kai
Kai provides a bridge between large language models (LLMs) and your Kubernetes clusters, enabling natural language interaction with Kubernetes resources. The server exposes a comprehensive set of tools for managing clusters, namespaces, pods, deployments, services, and other Kubernetes resources
Remote MCP Server on Cloudflare
A remote MCP server deployable on Cloudflare Workers with OAuth login support and local development capabilities.
NestJS MCP Server Module
A NestJS module for building MCP servers to expose tools and resources for AI, with support for multiple transport types.
Hyper MCP
A fast, secure, and extensible MCP server using WebAssembly plugins.
MCP Server with GitHub OAuth
An MCP server with built-in GitHub OAuth support, designed for deployment on Cloudflare Workers.
Grafana
Access and manage Grafana resources, including dashboards, datasources, Prometheus, Loki, and alerting.
Stack AI
Build and deploy AI applications using the Stack AI platform.
MCP Game Development Server
Automate game creation using React Three Fiber and manage projects with Linear integration.
MCPControl
Programmatically control Windows mouse, keyboard, window management, screen capture, and clipboard operations.
Apifox MCP Pro
An enhanced Apifox MCP service providing comprehensive API management capabilities for Claude Desktop and Cursor.