Ibmcloud MCP Server
The IBM Cloud MCP Server encapsulates the IBM Cloud CLI through over 80 tools, providing a comprehensive set of interfaces for cloud service operations such as authentication, resource management, cloud - native, and billing.
rating : 2 points
downloads : 0
What is the IBM Cloud MCP Server?
The IBM Cloud MCP Server is an AI assistant tool that allows you to use natural language (such as Chinese or English) to manage and operate the IBM Cloud platform. It encapsulates complex IBM Cloud CLI commands into a simple conversational interface. You just need to tell the AI assistant what you want to do (for example, 'View my Kubernetes clusters' or 'Create a new service instance'), and the assistant will automatically execute the corresponding operations.How to use the IBM Cloud MCP Server?
It's very simple to use: 1) Configure this server in an AI tool that supports the MCP protocol (such as Claude Desktop); 2) Tell the AI through conversation what IBM Cloud operations you want to perform; 3) The AI will automatically call the corresponding tools and return the results. You don't need to learn the ibmcloud command syntax, nor do you need to manually enter commands in the terminal.Use cases
• Developers can quickly manage cloud resources without switching terminals. • Teams can manage cloud environments through shared conversations during collaboration. • It can intuitively demonstrate cloud operations during teaching demonstrations. • Common tasks in daily operations can be automated. • Unified query of resources across multiple accounts and regions.Main features
Identity authentication management
Provides complete functions for logging in to, logging out of, switching accounts, and setting regions in IBM Cloud, supporting multiple authentication methods such as API keys and SSO.
Cloud resource management
Manages core cloud resources such as resource groups, service instances, and service keys, supporting full - lifecycle operations including creation, query, update, and deletion.
Container services
Fully supports the IBM Cloud Kubernetes Service and container registry, including cluster management, image operations, namespace management, etc.
Cloud Foundry application management
Manages organizations, spaces, applications, and services in the Cloud Foundry environment, supporting application deployment, scaling, log viewing, etc.
IAM and security management
Manages users, API keys, service IDs, access groups, and permission policies, achieving fine - grained access control and identity management.
Billing and catalog services
Views usage statistics, bill information, searches the service catalog, and views service plans to assist with cost management and service selection.
Advantages
Natural language interaction: No need to memorize complex commands, manage cloud resources through conversations.
Comprehensive functions: Covers over 80 common IBM Cloud operations, meeting most management needs.
Low entry barrier: Non - technical users can also perform professional cloud management operations.
High efficiency: Quickly complete repetitive management tasks through the AI assistant.
Context awareness: Maintains authentication status and configuration in the conversation context.
Limitations
Depends on IBM Cloud CLI: Requires pre - installation and configuration of the ibmcloud command - line tool.
Network requirements: Requires a stable network connection to access the IBM Cloud API.
Limitations on advanced functions: A very small number of advanced or customized CLI parameters may not be supported.
Response time: Adds an additional layer of AI processing time compared to direct CLI execution.
How to use
Install IBM Cloud CLI
First, you need to install the IBM Cloud command - line tool on your computer. This is the basic dependency for the MCP server.
Install and build the MCP server
Download or clone the MCP server code, install dependencies, and build the project.
Configure the AI tool
Add the MCP server configuration to the configuration file of the AI tool you are using (such as Claude Desktop).
Start using
Start the AI tool and begin managing your IBM Cloud resources through natural language conversations.
Usage examples
Daily resource check
Check the status of cloud resources every morning to ensure the normal operation of services.
New project environment setup
Quickly create a complete cloud environment for a new project.
Fault troubleshooting
Quickly diagnose problems when an application malfunctions.
Cost optimization
Check cloud resource usage and costs at the end of the month.
Frequently Asked Questions
Do I need to have an IBM Cloud account to use this tool?
Is this tool secure? Will it leak my cloud credentials?
Which AI tools are supported?
What should I do if a command execution fails?
Can I manage multiple IBM Cloud accounts simultaneously?
Is this tool officially provided by IBM?
Related resources
IBM Cloud CLI official documentation
Complete usage guide and reference documentation for the IBM Cloud command - line tool
Model Context Protocol official website
Official description and specification documentation for the MCP protocol
GitHub project repository
Source code, issue feedback, and contribution guidelines for this project
IBM Cloud free tier
Register for an IBM Cloud account and start using free resources
MCP server development guide
Technical guide on how to develop and extend the MCP server

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.4K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
71.8K
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.3K
5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.1K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
96.8K
4.7 points


