Tool that allows you to wait a certain time to continue the execution of an agent.
What is AgentsWorkingTogether mcp sleep
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"
]
}
}
}
"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:
--token
orUV_PUBLISH_TOKEN
- Or username/password:
--username
/UV_PUBLISH_USERNAME
and--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.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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