Sleep enables AI systems to add timed pauses with configurable limits for time-based coordination and rate limiting via
by agentsworkingtogether·Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Amicus MCP Server
Amicus MCP Server: state persistence for AI coding assistants—preserves shared context, summaries, next steps and active
JsonDiffPatch
JsonDiffPatch: compare and patch JSON with a compact delta format capturing additions, edits, deletions, and array moves
GhidraMCP
MCP server for Ghidra reverse engineering. Enables AI assistants to decompile binaries, analyze functions, rename variab
Blender
Connect Blender to Claude AI for seamless 3D modeling. Use AI 3D model generator tools for faster, intuitive, interactiv
Google Tag Manager
Integrate with Google Tag Manager to automate GTM container management, tag setup, and publishing using secure OAuth aut
Sleep has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Sleep reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Sleep is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Sleep for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Sleep surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Sleep into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Sleep against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Sleep is the kind of server we cite when onboarding engineers to host + tool permissions.
Sleep is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Sleep is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
showing 1-10 of 32
Share your MCP server with the developer community
Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"mcp-sleep": {
"command": "uvx",
"args": [
"mcp-sleep"
]
}
}
}Adds a simple sleep function that pauses AI execution for a specified number of seconds. Useful for controlling timing and flow in automated workflows.
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.
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.
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>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
MCP is still very new and evolving, we recommend following the MCP documentation to get the MCP basics up and running.
You'll need:
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>"
}
}
}
}
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).
sleep
seconds (number, max timeout config value): Seconds it will take me to tell you to continueTo use this with Claude Desktop, add the following to your claude_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 .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"
]
}
}
To prepare the package for distribution:
uv sync
uv build
This will create source and wheel distributions in the dist/ directory.
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
--token or UV_PUBLISH_TOKEN--username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORDDocker build:
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 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.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.