cloud-infrastructuredeveloper-tools

Clever Cloud

davlgd

by davlgd

Deploy and manage your apps effortlessly on Clever Cloud. Enjoy features similar to heroku app pricing, beanstalk aws, a

Integrates with Clever Cloud's tools and services to enable application deployment, environment management, and resource monitoring.

github stars

1

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Zero setup with npxDirect access to deployment zonesDocumentation integration

best for

  • / Developers deploying applications on Clever Cloud
  • / DevOps teams managing cloud infrastructure
  • / Automating cloud deployment workflows

capabilities

  • / List Clever Cloud deployment zones
  • / Retrieve documentation URLs in Markdown
  • / Fetch webpage content as Markdown
  • / Access Clever Cloud service information

what it does

Provides access to Clever Cloud deployment zones, documentation, and web content in Markdown format for managing cloud applications.

about

Clever Cloud is a community-built MCP server published by davlgd that provides AI assistants with tools and capabilities via the Model Context Protocol. Deploy and manage your apps effortlessly on Clever Cloud. Enjoy features similar to heroku app pricing, beanstalk aws, a It is categorized under cloud infrastructure, developer tools. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Clever Cloud 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

Clever Cloud is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Deploy and manage your apps effortlessly on Clever Cloud. Enjoy features similar to heroku app pricing, beanstalk aws, a

TL;DR: Provides access to Clever Cloud deployment zones, documentation, and web content in Markdown format for managing cloud applications.

What it does

  • List Clever Cloud deployment zones
  • Retrieve documentation URLs in Markdown
  • Fetch webpage content as Markdown
  • Access Clever Cloud service information

Best for

  • Developers deploying applications on Clever Cloud
  • DevOps teams managing cloud infrastructure
  • Automating cloud deployment workflows

Highlights

  • Zero setup with npx
  • Direct access to deployment zones
  • Documentation integration

FAQ

What is the Clever Cloud MCP server?
Clever Cloud 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 Clever Cloud?
This profile displays 68 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 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. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 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

4.868 reviews
  • Noah Smith· Dec 28, 2024

    We wired Clever Cloud into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Sakura White· Dec 24, 2024

    I recommend Clever Cloud for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Anaya Kapoor· Dec 20, 2024

    Strong directory entry: Clever Cloud surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Carlos Malhotra· Dec 20, 2024

    Clever Cloud reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Noah Taylor· Dec 8, 2024

    According to our notes, Clever Cloud benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Noah Harris· Nov 19, 2024

    We evaluated Clever Cloud against two servers with overlapping tools; this profile had the clearer scope statement.

  • Maya Ramirez· Nov 15, 2024

    Clever Cloud reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Olivia Zhang· Nov 15, 2024

    Clever Cloud has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Mia Abbas· Nov 11, 2024

    Useful MCP listing: Clever Cloud is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Arjun Gupta· Nov 11, 2024

    I recommend Clever Cloud for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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