Sleep▌

by agentsworkingtogether
Sleep enables AI systems to add timed pauses with configurable limits for time-based coordination and rate limiting via
Enables AI systems to introduce timed pauses in execution flow, supporting both stdio and SSE transport methods with configurable timeout limits for time-based coordination and rate limiting.
best for
- / Workflow automation requiring timed delays
- / Rate limiting API calls or operations
- / Sequential task execution with waiting periods
capabilities
- / Pause execution for specified duration
- / Control workflow timing and sequencing
- / Add delays between automated actions
- / Implement rate limiting in agent workflows
what it does
Adds a simple sleep function that pauses AI execution for a specified number of seconds. Useful for controlling timing and flow in automated workflows.
about
Sleep is a community-built MCP server published by agentsworkingtogether that provides AI assistants with tools and capabilities via the Model Context Protocol. Sleep enables AI systems to add timed pauses with configurable limits for time-based coordination and rate limiting via It is categorized under developer tools. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
how to install
You can install Sleep in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Sleep is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
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.
<a href="https://glama.ai/mcp/servers/@AgentsWorkingTogether/mcp-sleep"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@AgentsWorkingTogether/mcp-sleep/badge" alt="Sleep MCP Server" /> </a>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"
]
}
}
}
<details>
<summary>Published Servers Configuration</summary>
"mcpServers": {
"mcp-sleep": {
"command": "uvx",
"args": [
"mcp-sleep"
]
}
}
</details>
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.
FAQ
- What is the Sleep MCP server?
- Sleep is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Sleep?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Sleep is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Sleep against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Sleep is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Sleep reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Sleep for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Sleep surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Sleep has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Sleep benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Sleep into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Sleep is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.