GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Kubernetes port forwarding for local development with automatic /etc/hosts entries.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account txn2, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.25.18) reached the registry 21 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
[Documentation](https://kubefwd.com) | [Getting Started](https://kubefwd.com/getting-started/) | [User Guide](https://kubefwd.com/user-guide/) | [API Reference](https://kubefwd.com/api-reference/) | [MCP (AI Integration)](https://kubefwd.com/mcp-integration/)
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.
# Install (macOS)
brew install kubefwd
sudo -E kubefwd svc -n my-namespace --tui
Press ? for help, q to quit. See Getting Started for detailed installation and setup.
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
macOS:
brew install kubefwd
Linux: Download .deb, .rpm, or .tar.gz from releases
Windows:
winget install txn2.kubefwd
scoop install kubefwd
Docker:
docker run -it --rm --privileged \
-v "$HOME/.kube:/root/.kube:ro" \ txn2/kubefwd services -n my-namespace --tui
# Interactive mode (recommended)
sudo -E kubefwd svc -n default --tui
sudo -E kubefwd svc -n default,staging --tui
sudo -E kubefwd svc -n default -l app=api --tui
sudo -E kubefwd svc -n default --tui --api
Unlike kubectl port-forward, kubefwd:
| Feature | kubectl port-forward | kubefwd |
|---|---|---|
| Services per command | One | All in namespace |
| IP allocation | localhost only | Unique IP per service |
| Port conflicts | Manual management | None (unique IPs) |
| Service name resolution | Not supported | Automatic (/etc/hosts) |
| Auto-reconnect | No | Yes |
| Real-time monitoring | No | TUI with metrics |
See Comparison for detailed comparisons with Telepresence, mirrord, and other tools.
Full documentation at [kubefwd.com](https://kubefwd.com):
We welcome contributions for bug fixes, tests, and documentation. Feature development is limited to maintainers. See CONTRIBUTING.md.
Apache License 2.0
Open source by Craig Johnston, sponsored by Deasil Works, Inc.