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DynamicEnv MCP Server

@yonathan-shtekel

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

yonathan-shtekel

关于 DynamicEnv MCP Server

Kubernetes MCP server for managing DynamicEnv custom resources with real-time updates and AI-driven integration.

#kubernetes#mcp#dynamic-env

DynamicEnv MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-dynamic-env": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

DynamicEnv MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is DynamicEnv MCP Server?

DynamicEnv MCP Server is a high-performance Kubernetes MCP server that provides an AI-friendly API interface over DynamicEnv Custom Resources. It enables real-time tracking, intelligent debugging, and simplified cleanup for dynamic environments used in development, testing, and ephemeral workloads. Built with an async-first architecture, it integrates seamlessly with the Model Context Protocol (MCP) to empower developers and AI agents to manage K8s-based environments safely and efficiently.

How to use DynamicEnv MCP Server?

Clone the repository, create a Python virtual environment, and install dependencies with uv pip install -e .. Then install MCP tools (pip install "mcp[cli]") and start the server using mcp dev server.py, mcp install server.py, or mcp run server.py. The core CLI tools are List (view DynamicEnvs with filtering), Status (inspect deployments, pods, logs), and Delete (safely remove a DynamicEnv instance).

Key features of DynamicEnv MCP Server

  • List and filter DynamicEnv instances by namespace, state, or deployment status
  • Live status monitoring with async updates and progress reporting
  • Safe deletion of environments with dependency checks
  • Secure K8s authentication using in-cluster or kubeconfig credentials
  • Pod insights, deployment health, and optional log access
  • AI-ready interface via the Model Context Protocol

Use cases of DynamicEnv MCP Server

  • Managing dynamic environments for development and testing workflows
  • Automating cleanup of ephemeral environments in CI/CD pipelines
  • Enabling AI-driven DevOps tools to monitor and debug K8s resources
  • Providing real-time observability for multi-service dynamic environments

常见问题

1

What is a DynamicEnv?

DynamicEnv is a Kubernetes Custom Resource (CRD) that encapsulates an entire dynamic environment setup, including multiple interdependent services, service-specific configurations, routing rules, and resource constraints.

2

What are the runtime requirements?

The server requires Python 3.9 or later and a Kubernetes cluster. Authentication can be done via in-cluster credentials or a local kubeconfig file.

3

How does the server handle authentication?

It uses secure K8s authentication methods, supporting both in-cluster (service account) and kubeconfig-based credentials.

4

What CLI tools are provided?

The core tools are `List` (view and filter DynamicEnvs), `Status` (inspect deployments, pods, and logs), and `Delete` (safely remove a DynamicEnv instance with dependency checks).

5

Is the server AI‑ready?

Yes, it implements the Model Context Protocol (MCP), allowing AI tools to subscribe to real-time updates, manage long-running operations with progress tracking, and work safely via validation and structured context.

评论

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