GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
RAM-only HTTP debugging proxy and MCP server in Go. AI agents see salted tags, never secrets.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Der Entwickler hat in der Registry keine Installationsangaben gemacht. Sieh dir unten die README des Entwicklers an.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto VoxNode-ux bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.2) kam vor 9 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
A zero-dependency, RAM-only network inspector that lets your AI assistant debug HTTP, HTTPS and WebSocket traffic, with every secret scrubbed before the model ever sees it.
Quick start · How it works · What gets redacted · MCP tools · Configuration · CLI reference · Security model
Your AI assistant is great at debugging an API call, until the request it needs to read carries an Authorization header, a session cookie, a database URL or a customer's email. Pasting raw traffic into a chat means pasting your secrets with it.
NullWire sits between your app and the network. It records what passes through, scrubs every secret out of the recorded copy, and hands that clean copy to your assistant through the Model Context Protocol. Your app keeps working exactly as before, because the live traffic is never touched.
your app ──► NullWire (127.0.0.1) ──► the real server
│ ├─ forwards every byte, unmodified └─ keeps a scrubbed copy in RAM ──► your AI assistant (MCP)
| 🪶 Zero dependencies | Go standard library only. One static binary, nothing to install. |
| 🧠 RAM only | The last 50 flows live in memory. The server never writes a file, and a stop signal wipes the buffer. (install edits your MCP client configs, but only when you run it.) |
| 🔒 Loopback only | The proxy binds to 127.0.0.1. A DNS-rebinding guard answers only loopback Host headers. |
| 🧽 Layered redaction | Private keys, JSON/XML/query secrets, JWTs, 50+ vendor key formats, IPs, secrets hiding in base64, and a randomness detector for keys nobody has seen before. |
| 🛡️ Fail-closed shields | Bodies that can't be inspected are refused or flagged, never silently passed to the model. |
| 🔌 HTTP, HTTPS and WebSocket | Plain proxying, blind CONNECT tunnels, a reverse gateway for full HTTPS visibility, and WebSocket text capture in both directions. |
| 🔁 Safe replay | Export any captured request as a curl command with secrets swapped for environment variables. |
| 🔎 Secret scanner | scan and protect look for secrets in your MCP configs, .env, TOML, YAML and ZIP files before they leak. |
| 📱 Runs anywhere | Linux, macOS, Windows, Docker and Termux on Android. |
Pick whichever fits your machine. Every method checks the download against the release's SHA256SUMS.txt and installs nothing if it doesn't match. Release binaries also carry signed GitHub build provenance, and each release includes a CycloneDX SBOM (nullwire-sbom.cdx.json).
With Node.js (no install step): npx
npx -y nullwire-mcp install --client all
Nothing to download by hand: the launcher fetches and verifies the binary on first run and keeps it in a cache folder. Your MCP clients are then set to run npx -y nullwire-mcp.
macOS, Linux and Termux: install script
curl -fsSL https://raw.githubusercontent.com/VoxNode-ux/nullwire-mcp/main/scripts/install.sh | sh -s -- --setup
Installs to ~/.local/bin (or $PREFIX/bin on Termux). --setup also registers NullWire with your MCP clients. Drop it to install only. --uninstall removes everything again.
Windows: install script
irm https://raw.githubusercontent.com/VoxNode-ux/nullwire-mcp/main/scripts/install.ps1 | iex
nullwire-mcp install --client all
Installs to `%LOCALAPPDATA%\Programs\nullwire-mcp` and adds it to your user PATH. To pass options, run it as `& ([scriptblock]::Create((irm https://raw.githubusercontent.com/VoxNode-ux/nullwire-mcp/main/scripts/install.ps1))) -Setup`.
Homebrew and Scoop
brew install VoxNode-ux/nullwire/nullwire-mcp # macOS, Linux
scoop bucket add nullwire https://github.com/VoxNode-ux/scoop-nullwire # Windows scoop install nullwire-mcp
Both packages are generated from the templates in [`packaging/`](packaging/README.md).
Download a release by hand
| Platform | File |
|---|---|
| Linux x86-64 / ARM64 (Raspberry Pi 4+, Termux) | nullwire-linux-amd64 / nullwire-linux-arm64 |
| Linux ARMv7 (older Raspberry Pi) / RISC-V 64 | nullwire-linux-armv7 / nullwire-linux-riscv64 |
| macOS Intel / Apple Silicon | nullwire-darwin-amd64 / nullwire-darwin-arm64 |
| Windows x86-64 / ARM64 | nullwire-windows-amd64.exe / nullwire-windows-arm64.exe |
| FreeBSD x86-64 | nullwire-freebsd-amd64 |
chmod +x nullwire-linux-amd64
sha256sum -c SHA256SUMS.txt --ignore-missing # verify the download (macOS: shasum -a 256 -c) gh attestation verify nullwire-linux-amd64 --repo VoxNode-ux/nullwire-mcp # optional: verify signed build provenance
</details>
Build from source
go install github.com/VoxNode-ux/nullwire-mcp@latest
git clone https://github.com/VoxNode-ux/nullwire-mcp && cd nullwire-mcp CGO_ENABLED=0 go build -trimpath -ldflags="-s -w" -o nullwire-mcp .
Go 1.26 or newer. There is nothing to `go get`: the module has no dependencies.
Docker
docker run -i --rm ghcr.io/voxnode-ux/nullwire-mcp
The server speaks MCP over stdio, so run it with -i. The proxy listens on the container's own loopback by design, so a published port (-p) cannot reach it. On Linux, add --network host to use it from the host's 127.0.0.1.
One command registers NullWire with every supported client it finds on your machine:
nullwire-mcp install --client all --dry-run # look first: nothing is written
nullwire-mcp install --client all # then do it, and restart the client
It covers Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Cline, Roo Code, Gemini CLI and Codex CLI. See Connect your MCP clients for details, or add it by hand:
# Claude Code
claude mcp add nullwire -- /path/to/nullwire-mcp
// Claude Desktop, Cursor, Windsurf, Cline and other JSON-configured clients
{ "mcpServers": { "nullwire": { "command": "/path/to/nullwire-mcp", "args": ["-port", "8080"] } } }
The client starts NullWire, and NullWire starts the proxy in the same process. A live status bar on stderr shows what is happening:
⚡ [NullWire-MCP] Proxy 127.0.0.1:8080 | RAM Ring: 3/50 | Scrubbed: 7 Tokens, 2 Cookies, 1 IPs | Disk: 0B
# Plain HTTP through the proxy
curl -x http://127.0.0.1:8080 http://httpbin.org/headers
curl -x http://127.0.0.1:8080 https://example.com
nullwire-mcp -target https://api.example.com curl http://127.0.0.1:8080/v1/things -H "Authorization: Bearer sk-live-..."
*"Use
inspect_trafficto show my last 5 requests and tell me why the third one returned 401."*
flowchart LR
A[Your app or curl] -->|HTTP_PROXY / base URL| P[NullWire proxy 127.0.0.1:8080] P -->|unmodified bytes| S[(Real server)] S -->|unmodified bytes| P P --> C[Capture copy] C --> R[Redaction layers] R --> B[(RAM ring 50 flows)] B -->|MCP over stdio| M[AI assistant]
The key idea: the model reads a scrubbed copy, your app talks to the real server. Nothing the proxy forwards is rewritten, so debugging never changes the behaviour you are debugging.
| Mode | How you use it | What the assistant sees |
|---|---|---|
| Forward proxy | HTTP_PROXY=http://127.0.0.1:8080 and http:// URLs | Full request and response, scrubbed |
| HTTPS tunnel | HTTPS_PROXY=http://127.0.0.1:8080 (CONNECT) | Only the target host:port, timing and byte counts. The encrypted payload is never opened. |
| Reverse gateway | Point your app's base URL at http://127.0.0.1:8080 and start with -target https://… (or send an X-Target-URL header) | Full HTTPS request and response, scrubbed. NullWire makes the TLS connection to the real server. |
| WebSocket | Any Upgrade: websocket request through either proxy mode | Text messages in both directions, scrubbed, as one flow recorded when the connection closes. Frames are forwarded unmodified. |
Why no HTTPS interception? Reading HTTPS from a forward proxy would require a custom root certificate installed on your machine. That is key material and a trust-store change, the opposite of a zero-footprint tool. The reverse gateway gets you the same visibility with no certificate games.
Give each upstream a name. The first path segment picks the upstream and is removed before forwarding:
nullwire-mcp -target openai=https://api.openai.com,anthropic=https://api.anthropic.com
export OPENAI_BASE_URL=http://127.0.0.1:8080/openai/v1 # → https://api.openai.com/v1 export ANTHROPIC_BASE_URL=http://127.0.0.1:8080/anthropic # → https://api.anthropic.com
Names are letters, digits, ., _ and - (up to 32 characters, case-insensitive). One unnamed URL may be added as the default for paths that match no name. An X-Target-URL header overrides everything for a single request.
NullWire exposes three tools over stdio. It speaks MCP protocol versions 2026-07-28, 2025-11-25 and 2024-11-05, and accepts JSON-RPC batches.
| Tool | What it does | Arguments |
|---|---|---|
inspect_traffic | Returns recent scrubbed flows. | limit (1 to 50, default 10), method, url_filter |
export_sanitized_curl | Rebuilds a captured request as a curl command. Redacted values become environment variables you fill in yourself. | flow_id (required) |
clear_ram_buffer | Wipes all 50 slots and resets the counters. | none |
A flow looks like this (illustrative):
{
"id": 7, "timestamp": "2026-10-31T09:14:02Z", "method": "POST", "url": "https://api.example.com/v1/charge", "request_headers": { "Authorization": "[REDACTED_TOKEN#a1b2c3]", "Content-Type": "application/json" }, "request_body": "{\"card_token\":\"[REDACTED_TOKEN#9f3e21]\",\"amount\":4200}", "status_code": 401, "response_body": "{\"error\":\"invalid_api_key\"}", "latency_ms": 143, "redaction_count": 2 }
Tags are stable and correlatable. [REDACTED_TOKEN#a1b2c3] is a short salted hash, so the same secret gets the same tag everywhere in one run. Your assistant can see that two requests used the *same* token without learning it. The salt is random per run, so tags can't be compared across restarts or reversed.
Tag kinds: TOKEN, COOKIE, IP and KEY (private key
Nur der Anfang wird gezeigt; den Rest findest du im Repo