Terrakube
The Terrakube MCP Server is a model context protocol server developed based on TypeScript, designed specifically for the Terrakube platform, providing functions such as workspace management, variable handling, module operations, and organization management.
2.5 points
6.2K

What is the Terrakube MCP Server?

The Terrakube MCP server is a powerful tool designed to simplify operations on the Terrakube platform, including creating, updating, and deleting workspaces, variables, modules, and managing organizations.

How to use the Terrakube MCP Server?

Through a simple command - line interface, you can easily perform various operations, such as creating new workspaces, setting variables, and updating modules.

Applicable scenarios

Suitable for enterprises and individual developers who need to efficiently manage and automate Terrakube resources.

Main features

Workspace management
Supports creating, updating, deleting, and getting detailed information of workspaces.
Variable management
Allows adding, modifying, deleting, and viewing variables in workspaces.
Module management
Can create, update, delete, and query modules.
Organization management
Supports creating, updating, deleting, and getting organization details.
Advantages
Comprehensive API integration for seamless operation
Enhanced type safety and developer experience
Flexible environment configuration options
Limitations
Requires a certain technical background for configuration and use
Some advanced features may require additional learning costs

How to use

Install the Terrakube MCP Server
First, make sure you have installed the Node.js environment, then run the following command to install the server: ```bash npm install -g @terrakube/mcp - server ```
Configure environment variables
Create a `.env` file in the project root directory and fill in the necessary API URL and PAT Token. ```env TERRAKUBE_API_URL=<your - terrakube - api - url> TERRAKUBE_PAT_TOKEN=<your - personal - access - token> ```
Test the connection
Start the server and check if you have successfully connected to the Terrakube instance.

Usage examples

Create a new workspace
Demonstrate how to create a new workspace through the Terrakube MCP server.
List all organizations
Show how to get information about all available organizations.

Frequently Asked Questions

How to install the Terrakube MCP Server?
What if I forget to configure the environment variables?

Related resources

Official documentation
Terrakube official documentation, providing detailed usage instructions.
GitHub repository
Source code repository, containing the latest version and example code.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "terrakube": {
      "command": "npx",
      "args": [
        "-y",
        "@terrakube/mcp-server"
      ],
      "env": {
        "TERRAKUBE_API_URL": "<YOUR_API_URL>",
        "TERRAKUBE_PAT_TOKEN": "<YOUR_PAT_TOKEN>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
9.7K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
9.7K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.6K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
9.1K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.6K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
9.1K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
9.2K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.3K
5 points
M
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
29.3K
5 points
N
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
16.8K
4.5 points
G
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
19.2K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
56.0K
4.3 points
U
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#
25.2K
5 points
F
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
52.5K
4.5 points
C
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
77.8K
4.7 points
G
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
17.9K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase