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Beschreibung vom Entwickler (englisches Original)
File-based comms protocol for AI-to-AI dialogue between terminal agents.
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.
LETTERBOX_CHANNEL, LETTERBOX_SENDER, LETTERBOX_INSTANCE_IDDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"letterbox": {
"command": "uvx",
"args": [
"letterbox"
],
"env": {
"LETTERBOX_CHANNEL": "your-value",
"LETTERBOX_SENDER": "your-value",
"LETTERBOX_INSTANCE_ID": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add letterbox --env LETTERBOX_CHANNEL=your-value --env LETTERBOX_SENDER=your-value --env LETTERBOX_INSTANCE_ID=your-value -- uvx letterboxTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"letterbox": {
"command": "uvx",
"args": [
"letterbox"
],
"env": {
"LETTERBOX_CHANNEL": "your-value",
"LETTERBOX_SENDER": "your-value",
"LETTERBOX_INSTANCE_ID": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"letterbox": {
"type": "stdio",
"command": "uvx",
"args": [
"letterbox"
],
"env": {
"LETTERBOX_CHANNEL": "your-value",
"LETTERBOX_SENDER": "your-value",
"LETTERBOX_INSTANCE_ID": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
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 9. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto dovahkiin-v 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.
Das musst du eintragen: LETTERBOX_CHANNEL, LETTERBOX_SENDER, LETTERBOX_INSTANCE_ID
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 (1.2.2) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ 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
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.
📌 Built for internal production use. Architecture proven across months of daily AI development. Open-sourced as a reference implementation. I use it almost daily.
If you use AI coding assistants in the terminal, you normally work with one at a time — and getting two of them to collaborate means copy-pasting messages between windows yourself. Letterbox lets two assistants (say, Claude and Gemini, or Gemini and Mistral's Vibe) talk *directly* to each other and work a task together, hands-free.
The result: one agent can plan while another reviews, or the two can split the work between them — collaborating on their own while you watch, instead of relaying every message by hand.
*A small file-based comms protocol that lets two AI agents in separate terminals talk to each other in real time.*
Letterbox lets two terminal coding agents — Claude Code, Gemini CLI, Antigravity, or Mistral's Vibe — hold a real-time conversation by passing message files through a shared directory. When one agent speaks, a 📬 notification is injected into the other's terminal and wakes it to read and reply. No network, no server, no shared memory: just JSON files in a folder and the OS's atomic-rename. It's the messaging layer that was built for an internal planning loop, extracted into a standalone, versioned tool in 2026. If you've ever wanted two CLI agents to collaborate on a task without you copy-pasting between windows, this is for you. It gets the occasional update at the author's whim (the launcher tells you when a newer one is out) — but it's currently unsupported small project, not a community one.
The bridge is cross-harness: Claude on one side, Gemini on the other, talking through the same channel, has been verified live. The one wrinkle is setup — Claude wires itself automatically, while Gemini and Antigravity load letterbox from their own settings. The Setup section walks through both.
I work with two AI collaborators every day — Claude and Gemini — each living in whatever terminal harness it runs in (Claude Code, Gemini CLI, Antigravity CLI, and now Mistral's Vibe). Letterbox is how I get them talking to *each other* instead of through me.
That happens in two modes. Sometimes it's manual: we're brainstorming and I want to loop the other model into the conversation. Sometimes it's automated — in the planning loop, Claude drafts a plan and each plan is routed to Gemini for review as a built-in stage. Letterbox carries both the same way.
It's harness-agnostic by design — Claude Code ↔ Gemini CLI ↔ Antigravity CLI ↔ Vibe in any combination — and same-model pairs work just as well: two Claude tabs, or two Gemini tabs, talking over one channel.
Each letterbox launch runs two coordinated processes inside one terminal:
letterbox claude --channel demo --as alice
│ ├─ PTY-Parent (the foreground letterbox process) │ • spawns the harness CLI as a PTY child │ • watches the channel directory for peer writes │ • injects 📬 notifications into the PTY on arrival │ └─ the harness spawns: └─ letterbox mcp (stdio MCP server, agent-spawned) • send_message / check_messages / acknowledge • check_latest_message / channel_info / list_channels
Both sides coordinate ONLY through the filesystem:
~/.letterbox/channels/demo/ msg-*.json ← one file per message .read/alice.json ← per-agent read markers .read/bob.json
There is no daemon, no IPC, no background service. The filesystem *is* the coordination medium — the PTY-Parent's watcher sees a new msg-*.json appear and renders a notification; the channel directory is durable, inspectable, and cat-able. Crash recovery is trivial because nothing valuable lives in memory.
How the agent gets the letterbox tools differs per harness, and it's the one thing you configure once:
--mcp-config to claude. Nothing for you to set up.letterbox entry there once, and the launcher hands each session its channel and identity through environment variables at launch — so you never edit settings per channel.~/.vibe/config.toml. Its MCP subprocess inherits only a trimmed environment, so a one-time bridge script is needed to relay LETTERBOX_CHANNEL / LETTERBOX_SENDER from Vibe's own process env. Once that's in place, any channel works exactly like Gemini. See the Vibe setup section.LETTERBOX_NO_UPDATE_CHECK=1.)Letterbox is a two-way bridge at heart — one peer talking to one peer is what it's designed and tuned for. Three or more agents *can* share a channel: directed addressing (send_message(to=" ")) and the participants list make it workable, and same-channel broadcasts reach everyone. But a shared channel is a broadcast bus — every message wakes every participant. Without orchestration (turn-taking, a designated coordinator, or rules about who speaks when), an N-way room becomes a notification storm that can chew through a model's message/usage limits surprisingly fast. If you want three or more, bring your own conductor. The substrate is honest about who's in the room; the etiquette is on you.
Available on PyPI and the MCP Registry.
pip install letterbox
Or from source:
pip install -e . # or: pip install -e ".[dev]" for the test extras
This puts the letterbox command on your PATH. The command must resolve by name — each agent spawns letterbox mcp itself — so this is load-bearing. Confirm it:
which letterbox # note this absolute path; Gemini/Antigravity setup needs it
You also need the harness you're launching (claude, gemini, antigravity, or vibe) installed, on your PATH, and logged in. Letterbox launches it for you.
Letterbox is versioned (letterbox.__version__, the single source of truth) and published to PyPI. On a human-facing launch the CLI makes one best-effort check (at most once a day, cached under ~/.cache/letterbox/) and prints a one-line notice if a newer version exists. To update:
pip install --upgrade letterbox
This is the only network call letterbox ever makes — the messaging protocol stays fully local. It runs with a tight timeout and is fully fail-silent: if it can't reach GitHub it simply prints nothing and never delays your launch. It is never run for letterbox mcp (the agent's stdio server). Disable it entirely with LETTERBOX_NO_UPDATE_CHECK=1.
You only do this once per harness. Skip the harnesses you won't use.
Letterbox wires Claude automatically: at launch it writes a temporary MCP config (mode 0600) and passes --mcp-config to claude. The letterbox tools appear in that session and nowhere else. There is no settings file to edit.
1. Register the MCP server in ~/.gemini/settings.json (create the file if it doesn't exist). Use the absolute path to your installed letterbox (from which letterbox above), and pass only ["mcp"] — no channel, no identity:
{
"mcpServers": { "letterbox": { "command": "/absolute/path/to/letterbox", "args": ["mcp"] } } }
This entry is channel-agnostic on purpose. The launcher exports LETTERBOX_CHANNEL, LETTERBOX_SENDER, and LETTERBOX_INSTANCE_ID into Gemini's environment at launch, and the MCP server reads them — so the same single entry serves every channel and you never edit it again. (This mirrors how the Forge orchestrators pass a channel via an env var.)
2. Trust the folder you launch from. Gemini refuses to run in an untrusted directory without an interactive *"do you trust this folder?"* prompt — and a blocking TUI prompt would stall the automation. Pre-trust the launch directory (or a parent) in ~/.gemini/trustedFolders.json:
{
"/home/you/projects": "TRUST_PARENT" }
TRUST_FOLDER trusts exactly that directory; TRUST_PARENT trusts it and everything beneath, so one entry covers all your project folders. (Tip: don't reach for Gemini's --skip-trust flag to dodge this — it forces a workspace-system-prompt lookup that crashes even in already-trusted directories. Trust the folder instead.)
agy)Launch it as `letterbox agy …` (the long form letterbox antigravity … also works — agy is just an alias matching the binary name). Antigravity receives its per-launch channel and identity through the same environment variables as Gemini; what differs is how you register the MCP server. agy loads MCP servers from plugins, so you install letterbox as a tiny local plugin (a directory with two JSON files):
# 1. Build the plugin (one directory, two files). Use the absolute
letterbox path from which letterbox.mkdir -p ~/.letterbox/agy-plugin/letterbox cat > ~/.letterbox/agy-plugin/letterbox/plugin.json <<'JSON' { "name": "letterbox", "version": "1.0.0", "description": "Letterbox file-based AI-to-AI comms bridge." } JSON cat > ~/.letterbox/agy-plugin/letterbox/mcp_config.json <<'JSON' { "mcpServers": { "letterbox": { "command": "/absolute/path/to/letterbox", "args": ["mcp"] } } } JSON
agy plugin install ~/.letterbox/agy-plugin/letterbox agy plugin list
The mcp_config.json is channel-agnostic for the same reason Gemini's settings entry is — the launcher passes the channel and identity by environment at launch. Like Gemini, agy
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