Wait▌
by automation-ai-labs
Use the Wait function to pause execution for 0-300 seconds with 10% progress updates, perfect for task synchronization a
Provides a simple waiting functionality that pauses execution for specified durations (0-300 seconds) with progress reporting in 10% increments for synchronizing processes between tasks.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Coordinating multi-step automation workflows
- / Adding delays between API calls or operations
- / Testing time-dependent processes
capabilities
- / Pause execution for specified durations
- / Report progress during waiting periods
- / Synchronize timing between tasks
- / Add delays up to 300 seconds
what it does
Adds a wait/delay function that pauses execution for a specified duration (0-300 seconds) with progress reporting. Useful for timing coordination between different tasks or processes.
about
Wait is a community-built MCP server published by automation-ai-labs that provides AI assistants with tools and capabilities via the Model Context Protocol. Use the Wait function to pause execution for 0-300 seconds with 10% progress updates, perfect for task synchronization a It is categorized under productivity, developer tools.
how to install
You can install Wait 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
MIT
Wait is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Use the Wait function to pause execution for 0-300 seconds with 10% progress updates, perfect for task synchronization a
TL;DR: Adds a wait/delay function that pauses execution for a specified duration (0-300 seconds) with progress reporting. Useful for timing coordination between different tasks or processes.
What it does
- Pause execution for specified durations
- Report progress during waiting periods
- Synchronize timing between tasks
- Add delays up to 300 seconds
Best for
- Coordinating multi-step automation workflows
- Adding delays between API calls or operations
- Testing time-dependent processes
Highlights
- No API key needed
- Progress reporting in 10% increments
FAQ
- What is the Wait MCP server?
- Wait 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 Wait?
- This profile displays 47 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★47 reviews- ★★★★★Ishan Iyer· Dec 24, 2024
Wait has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Pratham Ware· Dec 16, 2024
I recommend Wait for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★William Bansal· Dec 16, 2024
Wait reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Benjamin Zhang· Dec 12, 2024
Wait is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Mateo Kim· Dec 8, 2024
We wired Wait into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ishan Ghosh· Nov 27, 2024
Wait is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Benjamin Anderson· Nov 23, 2024
I recommend Wait for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Valentina Bhatia· Nov 15, 2024
Strong directory entry: Wait surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aanya Garcia· Nov 3, 2024
We wired Wait into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Aditi Srinivasan· Oct 22, 2024
According to our notes, Wait benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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