txn2

kubefwd

Built by txn2 4,073 stars

What is kubefwd?

Bulk port forwarding Kubernetes services for local development.

How to use kubefwd?

1. Install a compatible MCP client (like Claude Desktop). 2. Open your configuration settings. 3. Add kubefwd using the following command: npx @modelcontextprotocol/kubefwd 4. Restart the client and verify the new tools are active.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/kubefwd --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/kubefwd

Key Features

Native MCP Protocol Support
Real-time Tool Activation & Execution
Verified High-performance Implementation
Secure Resource & Context Handling

Optimized Use Cases

Extending AI models with custom local capabilities
Automating system workflows via natural language
Connecting external data sources to LLM context windows

kubefwd FAQ

Q

Is kubefwd safe?

Yes, kubefwd follows the standardized Model Context Protocol security patterns and only executes tools with explicit user-granted permissions.

Q

Is kubefwd up to date?

kubefwd is currently active in the registry with 4,073 stars on GitHub, indicating its reliability and community support.

Q

Are there any limits for kubefwd?

Usage limits depend on the specific implementation of the MCP server and your system resources. Refer to the official documentation below for technical details.

Official Documentation

View on GitHub

kubefwd (Kube Forward)

kubefwd - kubernetes bulk port forwarding

CNCF Landscape GitHub license codecov Go Report Card GitHub release GitHub Downloads OpenSSF Scorecard OpenSSF Best Practices SLSA 3

Documentation | Getting Started | User Guide | API Reference | MCP (AI Integration)

Develop Locally, Connect to Kubernetes

kubefwd enables developers to work on their local machine while seamlessly accessing services running in a Kubernetes cluster. If you're building a new API that needs to connect to a database at db:5432, an auth service at auth:443, and a cache at redis:6379, all running in your development cluster, kubefwd makes them available locally by their service names, exactly as they would appear in-cluster. No environment-specific configuration, no local service setup, no Docker Compose files. Just run kubefwd and your application's existing connection strings work.

This is the essential use case: reduce or eliminate environment-specific connection setup and configurations during local development. Your code uses http://api-gateway:8080 in production? It works the same way on your laptop with kubefwd.

Bulk Kubernetes port forwarding with an interactive TUI, unique IPs per service, and automatic reconnection.

kubefwd is a command-line utility that bulk port forwards Kubernetes services to your local workstation. Each service gets its own unique loopback IP (127.x.x.x), eliminating port conflicts and enabling realistic local development with cluster services accessible by name.

kubefwd TUI - Main View

Quick Start

# Install (macOS)
brew install kubefwd

# Forward all services in a namespace with the interactive TUI
sudo -E kubefwd svc -n my-namespace --tui

Press ? for help, q to quit. See Getting Started for detailed installation and setup.

How It Works

<div align="center"> <img width="654" alt="kubefwd - Kubernetes Port Forward Diagram" src="https://mk.imti.co/images/content/kubefwd-net.png"> </div>

kubefwd discovers services in your namespace, assigns each a unique loopback IP, updates /etc/hosts with service names, and establishes port forwards through the Kubernetes API. Access services by name just like in-cluster:

curl http://api-service:8080
mysql -h database -P 3306
redis-cli -h cache -p 6379

Features

  • Interactive TUI: Real-time service monitoring with traffic metrics
  • Unique IP per Service: Each service gets its own 127.x.x.x address
  • Auto-Reconnect: Reconnects when pods restart or connections drop
  • Bulk Forwarding: Forward all services in a namespace with one command
  • Live Traffic Monitoring: See bytes in/out and HTTP activity
  • Pod Log Streaming: View container logs in the TUI
  • REST API: Programmatic control via HTTP endpoints
  • MCP Support: Integration with AI assistants (Claude Code, Cursor)

Installation

macOS:

brew install kubefwd

Linux: Download .deb, .rpm, or .tar.gz from releases

Windows:

winget install txn2.kubefwd
# or
scoop install kubefwd

Docker:

docker run -it --rm --privileged \
  -v "$HOME/.kube:/root/.kube:ro" \
  txn2/kubefwd services -n my-namespace --tui

Usage

# Interactive mode (recommended)
sudo -E kubefwd svc -n default --tui

# Multiple namespaces
sudo -E kubefwd svc -n default,staging --tui

# Filter by label
sudo -E kubefwd svc -n default -l app=api --tui

# With REST API enabled
sudo -E kubefwd svc -n default --tui --api

Why kubefwd?

Unlike kubectl port-forward, kubefwd:

Featurekubectl port-forwardkubefwd
Services per commandOneAll in namespace
IP allocationlocalhost onlyUnique IP per service
Port conflictsManual managementNone (unique IPs)
Service name resolutionNot supportedAutomatic (/etc/hosts)
Auto-reconnectNoYes
Real-time monitoringNoTUI with metrics

See Comparison for detailed comparisons with Telepresence, mirrord, and other tools.

Documentation

Full documentation at kubefwd.com:

Requirements

  • kubectl configured with cluster access
  • Root/sudo access (for /etc/hosts and network interfaces)

Contributing

We welcome contributions for bug fixes, tests, and documentation. Feature development is limited to maintainers. See CONTRIBUTING.md.

License

Apache License 2.0


Open source by Craig Johnston, sponsored by Deasil Works, Inc.

Global Ranking

-
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "kubefwd": { "command": "npx", "args": ["kubefwd"] } } }