Civo▌
by tao12345666333
Manage cloud infrastructure and services easily with Civo. Automate instance lifecycle, Kubernetes, and networks via pow
Integrates with Civo cloud platform API for managing cloud infrastructure including instance lifecycle operations, network management, Kubernetes cluster orchestration, and resource discovery with built-in rate limiting.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / DevOps engineers managing Civo infrastructure
- / Kubernetes administrators deploying clusters
- / Developers provisioning cloud resources
- / Infrastructure automation workflows
capabilities
- / Create and manage cloud instances
- / Configure network settings
- / Deploy and orchestrate Kubernetes clusters
- / Discover and list cloud resources
- / Control instance lifecycle operations
what it does
Manages Civo cloud infrastructure including instances, networks, and Kubernetes clusters through their API. Lets you provision and control cloud resources directly from your MCP client.
about
Civo is a community-built MCP server published by tao12345666333 that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage cloud infrastructure and services easily with Civo. Automate instance lifecycle, Kubernetes, and networks via pow It is categorized under cloud infrastructure.
how to install
You can install Civo 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
Civo is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Civo MCP Server
An MCP server implementation that integrates with the Civo cloud platform API, providing capabilities to manage cloud instances, networks, and Kubernetes clusters.
<a href="https://glama.ai/mcp/servers/@tao12345666333/civo-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@tao12345666333/civo-mcp/badge" alt="Civo Server MCP server" /> </a>Demo
Or you can also view the details of each step through this public Amp thread.
Getting Started
Requirements
- Node.js 20 or newer
- Claude Desktop, VS Code, Cursor, or any other MCP client
- A Civo account with API key
Installation
First, install the Civo MCP server with your client. A typical configuration looks like this:
{
"mcpServers": {
"civo": {
"command": "npx",
"args": ["civo-mcp"],
"env": {
"CIVO_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
<details>
<summary><b>Install in VS Code</b></summary>
You can install the Civo MCP server using the VS Code CLI:
# For VS Code
code --add-mcp '{"name":"civo","command":"npx","args":["civo-mcp"],"env":{"CIVO_API_KEY":"YOUR_API_KEY_HERE"}}'
After installation, the Civo MCP server will be available for use with your GitHub Copilot agent in VS Code.
</details> <details> <summary><b>Install in Ampcode</b></summary>Follow Amp MCP documentation. Use following configuration:
"amp.mcpServers": {
"civo": {
"command": "npx",
"args": ["civo-mcp"],
"env": {
"CIVO_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
</details>
<details>
<summary><b>Install in Claude Code</b></summary>
Use the Claude Code CLI to add the Civo MCP server:
claude mcp add civo npx civo-mcp
Then set your API key as an environment variable:
export CIVO_API_KEY="your_api_key_here"
</details>
<details>
<summary><b>Install in Gemini CLI</b></summary>
Follow the MCP install guide, use following configuration:
{
"mcpServers": {
"civo": {
"command": "npx",
"args": ["civo-mcp"],
"env": {
"CIVO_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
</details>
<details>
<summary><b>Install in Cursor</b></summary>
Go to Cursor Settings → MCP → Add new MCP Server. Name to your liking, use command type with the command npx civo-mcp. You can also verify config or add command like arguments via clicking Edit.
{
"mcpServers": {
"civo": {
"command": "npx",
"args": ["civo-mcp"],
"env": {
"CIVO_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
</details>
<details>
<summary><b>Install in Windsurf</b></summary>
Follow Windsurf MCP documentation. Use following configuration:
{
"mcpServers": {
"civo": {
"command": "npx",
"args": ["civo-mcp"],
"env": {
"CIVO_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
</details>
<details>
<summary><b>Install in Claude Desktop</b></summary>
Follow the MCP install guide, use following configuration:
{
"mcpServers": {
"civo": {
"command": "npx",
"args": ["civo-mcp"],
"env": {
"CIVO_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
</details>
Features
- Instance Management: Create, manage, resize, start, stop, reboot, and delete cloud instances.
- Disk Image Operations: List and get details of available disk images.
- Network Management: Create, rename, and delete networks.
- Kubernetes Support: Create, list, and delete Kubernetes clusters and list available versions.
- Flexible Configuration: Set instance size, region, and other parameters.
- Rate Limiting: Built-in rate limiting to prevent API abuse.
Tools
Instance Management
-
create_instance
- Create new cloud instances on Civo
- Inputs:
hostname(string): Fully qualified domain namesize(string): Instance size (e.g. 'g2.small')template_id(string): Disk image IDcount(number, optional): Number of instances to create (default: 1)region(string, optional): Region identifier (default: 'LON1')
-
list_instances
- List all instances on Civo
- Inputs:
region(string, optional): Filter by regionpage(number, optional): Pagination page (default: 1)per_page(number, optional): Results per page (default: 20)
-
reboot_instance
- Reboot an existing instance
- Inputs:
id(string): Instance IDregion(string): Region identifier
-
shutdown_instance
- Shutdown an existing instance
- Inputs:
id(string): Instance IDregion(string): Region identifier
-
start_instance
- Start a stopped instance
- Inputs:
id(string): Instance IDregion(string): Region identifier
-
resize_instance
- Resize an existing instance
- Inputs:
id(string): Instance IDsize(string): New instance sizeregion(string): Region identifier
-
delete_instance
- Delete an existing instance
- Inputs:
id(string): Instance IDregion(string): Region identifier
Disk Images
-
list_disk_images
- List available disk images on Civo
- Inputs:
region(string, optional): Region identifier
-
get_disk_image
- Get details of a specific disk image
- Inputs:
id(string): Disk image IDregion(string, optional): Region identifier
Network Management
-
list_networks
- List all available networks
- Inputs: None
-
create_network
- Create a new network
- Inputs:
label(string): Network labelregion(string, optional): Region identifier
-
rename_network
- Rename an existing network
- Inputs:
id(string): Network IDlabel(string): New network labelregion(string, optional): Region identifier
-
delete_network
- Delete an existing network
- Inputs:
id(string): Network IDregion(string): Region identifier
Kubernetes Management
-
list_kubernetes_clusters
- List all Kubernetes clusters
- Inputs:
region(string, optional): Filter by regionpage(number, optional): Pagination pageper_page(number, optional): Results per page
-
create_kubernetes_cluster
- Create a new Kubernetes cluster
- Inputs:
name(string): Cluster nameregion(string): Region identifiernetwork_id(string): Network ID for the clusternodes(number): Number of worker nodesnode_size(string): Size of each nodekubernetes_version(string): Kubernetes version
-
delete_kubernetes_cluster
- Delete a Kubernetes cluster
- Inputs:
id(string): Cluster IDregion(string): Region identifier
-
list_kubernetes_versions
- List available Kubernetes versions
- Inputs: None
Resource Information
-
list_sizes
- List all available instance sizes
- Inputs: None
-
list_regions
- List all available regions
- Inputs: None
Configuration
Environment Variables
CIVO_API_KEY: Your Civo API Key (required)NODE_ENV: Set toproductionto disable debug logging (optional)
Getting an API Key
- Sign up for a Civo account if you don't have one.
- Generate your API key following the API keys documentation
Contributing
Contributions are welcome! Please follow these steps:
- Fork the repository
- Create a feature branch:
git checkout -b feature-name - Make your changes and add tests
- Run the test suite:
npm run test:ci - Submit a pull request
Development Setup
git clone https://github.com/tao12345666333/civo-mcp.git
cd civo-mcp
npm install
npm run build
Running Tests
# Run all tests
npm test
# Run tests in watch mode
npm run test:watch
# Generate coverage report
npm run test:coverage
License
This MCP server is licensed under the MIT License. See the LICENSE file for details.
FAQ
- What is the Civo MCP server?
- Civo 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 Civo?
- This profile displays 60 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.
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
4.5★★★★★60 reviews- ★★★★★Anaya Agarwal· Dec 24, 2024
Civo is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Pratham Ware· Dec 20, 2024
According to our notes, Civo benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Zaid Kim· Dec 20, 2024
Civo is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Mia Chawla· Dec 16, 2024
I recommend Civo for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Fatima Bansal· Dec 4, 2024
Civo is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Amina Kapoor· Dec 4, 2024
According to our notes, Civo benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Nia Thomas· Nov 23, 2024
We wired Civo into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Nov 11, 2024
We wired Civo into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Nia Tandon· Nov 11, 2024
We evaluated Civo against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aisha Dixit· Nov 11, 2024
Civo has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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