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Kube Core MCP

by Jess321995
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote
1

Kube Core MCP

A Kubernetes command processing service that converts natural language requests into valid kubectl commands.

Features

  • Natural language to kubectl command conversion

  • Command validation and security checks

  • Support for common kubectl operations

  • AWS Bedrock integration for LLM processing

Related MCP server: GitHub MCP Server

Prerequisites

  • Python 3.8+

  • AWS credentials configured

  • kubectl installed and configured

  • Node.js and npm (for frontend)

Setup

  1. Clone the repository:

git clone <repository-url> cd kube-core-mcp

  1. Create and activate a virtual environment:

python3 -m venv venv source venv/bin/activate # On Windows: .\venv\Scripts\activate

  1. Install dependencies:

pip install -r requirements.txt

  1. Configure AWS credentials:

export AWS_ACCESS_KEY_ID=your_access_key export AWS_SECRET_ACCESS_KEY=your_secret_key export AWS_REGION=your_region

  1. Start the FastAPI server:

python src/server.py

API Documentation

Health Check

curl http://localhost:3000/health

Services

curl http://localhost:3000/api/services

Natural Language Commands

curl -X POST http://localhost:3000/api/nl \ -H "Content-Type: application/json" \ -d '{"message": "show me the pods in default namespace"}'

Direct Commands

curl -X POST http://localhost:3000/api/command \ -H "Content-Type: application/json" \ -d '{"command": "kubectl get pods -n default"}'

Security

The service operates in two security modes:

  1. STRICT (default):

    • Only allows predefined command patterns

    • Validates all commands against allowed patterns

    • Prevents dangerous operations

  2. PERMISSIVE:

    • Allows more flexible command patterns

    • Still maintains basic security checks

    • Useful for development and testing

Development

Running Tests

pytest tests/

Code Style

black src/ tests/ flake8 src/ tests/

Contributing

  1. Fork the repository

  2. Create a feature branch

  3. Make your changes

  4. Run tests

  5. Submit a pull request

License

[Add License Information]

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