Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Relays messages between two Claude Code sessions on different machines using the Channels API
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
MY_ROLE, REMOTE_HOST, INTERCOM_SECRET, INTERCOM_PORT, INTERCOM_HOST, INTERCOM_SEND_TIMEOUT_MS「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"intercom": {
"command": "npx",
"args": [
"-y",
"claude-intercom"
],
"env": {
"MY_ROLE": "your-value",
"REMOTE_HOST": "your-value",
"INTERCOM_SECRET": "your-value",
"INTERCOM_PORT": "your-value",
"INTERCOM_HOST": "your-value",
"INTERCOM_SEND_TIMEOUT_MS": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add intercom --env MY_ROLE=your-value --env REMOTE_HOST=your-value --env INTERCOM_SECRET=your-value --env INTERCOM_PORT=your-value --env INTERCOM_HOST=your-value --env INTERCOM_SEND_TIMEOUT_MS=your-value -- npx -y claude-intercom動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"intercom": {
"command": "npx",
"args": [
"-y",
"claude-intercom"
],
"env": {
"MY_ROLE": "your-value",
"REMOTE_HOST": "your-value",
"INTERCOM_SECRET": "your-value",
"INTERCOM_PORT": "your-value",
"INTERCOM_HOST": "your-value",
"INTERCOM_SEND_TIMEOUT_MS": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"intercom": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"claude-intercom"
],
"env": {
"MY_ROLE": "your-value",
"REMOTE_HOST": "your-value",
"INTERCOM_SECRET": "your-value",
"INTERCOM_PORT": "your-value",
"INTERCOM_HOST": "your-value",
"INTERCOM_SEND_TIMEOUT_MS": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
INTERCOM_PORT envINTERCOM_HOST envINTERCOM_SEND_TIMEOUT_MS envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント MuhammadTalhaMT で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:MY_ROLE, REMOTE_HOST, INTERCOM_SECRET
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(2.1.0)がレジストリに届いたのは3 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Apify MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Two-way communication bridge between Claude Code sessions using the Channels API.
Let two Claude Code instances on different machines talk to each other in real-time. One sends a message, the other receives it instantly as a channel notification and can reply back.
Claude Code has native cross-session messaging now. Here's where Intercom is still the answer:
send_message reports sent, delivered-to-process and answered as three separate states, plus a check_message tool. You find out when the other side never picked it up, instead of planning around an answer that was never coming.If you're on macOS or Linux and you just want your own sessions talking to each other, native is simpler — use that. Everything else above is what this is for.
If you have a backend developer and a frontend developer each running Claude Code on separate machines, they currently have to relay questions through Slack/Discord/copy-paste. Claude Intercom creates a direct hotline between the two AI sessions — one Claude can ask the other about endpoints, schemas, or implementation details and get answers from the actual codebase.
Machine A Machine B
(e.g. backend dev) (e.g. frontend dev)
Claude Code A Claude Code B | | +-- intercom.ts ---HTTP POST----> intercom.ts --+ | (channel) <--HTTP POST-- (channel) | | | +-- stdio (MCP) --+ +-- stdio (MCP) -----+ | | Claude A Claude B
Both instances run the same intercom.ts file. Each listens for HTTP messages and pushes them into its local Claude Code session via the Channels API. Each also exposes send_message and check_message tools that Claude can call.
Paste this into a Claude Code session on each machine and it will walk you through the whole thing. Run it on machine A first, keep the secret it gives you, then run it on machine B.
Set up claude-intercom on this machine so this Claude Code session can message
a Claude Code session on my other machine.
Work through this in order, and stop and ask me whenever you need something only I can tell you.
bun --version works and that claude --version is 2.1.80 or newer. If Bun is missing, tell me how to install it for my OS and stop there.tailscale ip -4. If that returns an address we'll use Tailscale. If Tailscale isn't installed, tell me it's the recommended option and ask whether I want to install it or use something else..mcp.json in this project with an "intercom" server: command npx, args ["-y", "claude-intercom"], and env MY_ROLE, REMOTE_HOST (the other machine plus :8788), INTERCOM_SECRET, INTERCOM_PORT set to 8788. If .mcp.json already exists, merge the intercom entry into it instead of overwriting the file. Make sure .mcp.json is gitignored, it holds the secret.claude --dangerously-load-development-channels server:intercom and explain that the flag is needed because the channels capability is still experimental, and that messages only arrive while both sides are running.send_message reports sent / delivered-to-process / answered separately, so "delivered" means the remote process accepted it, not that the other Claude has read it.Don't invent configuration keys. The only environment variables are MY_ROLE, REMOTE_HOST, INTERCOM_SECRET, INTERCOM_PORT and INTERCOM_SEND_TIMEOUT_MS.
Prefer to do it by hand? The manual steps are below.
Nothing to install. npx fetches it on first run, on both machines.
You do need Bun on your PATH — the server uses Bun.serve for its HTTP listener, and the npx entry point hands off to it.
Prefer to run from source?
git clone https://github.com/MuhammadTalhaMT/claude-intercom.git
cd claude-intercom bun install
Then use "command": "bun" with "args": ["/path/to/claude-intercom/intercom.ts"] in the config below instead of the npx form.
Copy the example config into your project's .mcp.json.
First generate a secret, and use the same value on both machines:
openssl rand -base64 32
Then export it in the shell you launch Claude Code from, rather than typing it into the config:
export INTERCOM_SECRET='the-value-you-just-generated'
.mcp.json is a project file, and project files get committed. Claude Code expands ${VAR} in .mcp.json — in command, args, env, url and headers — so the config below can be checked in and shared with your teammate while the secret itself never leaves your environment.
Machine A (e.g. backend — static IP or VPS):
{
"mcpServers": { "intercom": { "command": "npx", "args": ["-y", "claude-intercom"], "env": { "MY_ROLE": "backend", "REMOTE_HOST": "MACHINE_B_IP:8788", "INTERCOM_SECRET": "${INTERCOM_SECRET}", "INTERCOM_PORT": "8788" } } } }
Machine B (e.g. frontend — can be behind NAT):
{
"mcpServers": { "intercom": { "command": "npx", "args": ["-y", "claude-intercom"], "env": { "MY_ROLE": "frontend", "REMOTE_HOST": "MACHINE_A_IP:8788", "INTERCOM_SECRET": "${INTERCOM_SECRET}", "INTERCOM_PORT": "8788" } } } }
On both machines:
claude --dangerously-load-development-channels server:intercom
In either Claude Code session:
"Send a message to the other developer asking what API endpoints are available for the dashboard."
Claude will use the send_message tool to POST the message to the other machine. The other Claude receives it as a channel notification and responds.
Use [Tailscale](https://tailscale.com). Install it on both machines and they get stable private addresses on your own tailnet. Then point each side at the other's tailnet address:
"REMOTE_HOST": "other-machine:8788"
This is strictly better than exposing a port to the internet: no public listener, no port forwarding, the address doesn't change when your ISP reassigns your IP, and device identity is enforced by Tailscale rather than resting entirely on a shared string. Set INTERCOM_HOST to your tailnet address — or to 127.0.0.1 if you are also fronting it with a tunnel — to be certain nothing outside can reach it at all.
Alternative: ngrok
If you can't use Tailscale, ngrok still works:
# On the machine behind NAT
ngrok http 8788
"REMOTE_HOST": "your-subdomain.ngrok-free.app"
ngrok hostnames are detected and switched to HTTPS automatically. For any other tunnel — Cloudflare, Caddy, a reverse proxy of your own — write the scheme into REMOTE_HOST explicitly (https://your-host), or the secret goes out over cleartext HTTP.
Note this does put a publicly reachable endpoint in front of your Claude session, gated only by the shared secret — pick a strong one, and consider INTERCOM_HOST=127.0.0.1 so only the tunnel can reach the listener.
send_messageSends a message and returns immediately with an id. It does not wait for an answer — the reply arrives later as its own inbound message.
| Argument | Required | Description |
|---|---|---|
message | Yes | The text to send |
replyTo | No | The id of the incoming message this answers, so the sender can correlate it |
expectReplyWithin | No | How long a reply should reasonably take: "30s", "5m", "2h" |
The acknowledgement deliberately does not claim the other developer received it. An HTTP 200 proves the remote *process* accepted the message, not that the other Claude ever read it.
check_messageAnswers the question a fire-and-forget channel otherwise can't: is this reply slow, or is it never coming? Pass an id, or omit it to list everything outstanding.
Every message sits in one of three states:
| State | Meaning |
|---|---|
sent | We tried, but the remote process never acked it. The other machine is probably unreachable |
delivered-to-process | Their intercom took it. Their Claude may or may not have read it — that session could be idle, closed, or out of usage |
answered | A reply came back carrying replyTo for this id |
expectReplyWithin is what makes "overdue" mean anything, and it's per message rather than one global timeout — so a quick endpoint lookup and a long investigation aren't judged on the same clock.
| Environment Variable | Required | Default | Description |
|---|---|---|---|
MY_ROLE | Yes | developer-a | Label for this instance (appears in message tags) |
REMOTE_HOST | Yes | localhost:8789 | Address of the other machine (host:port or tunnel URL). Include https:// for any TLS tunnel that isn't ngrok |
INTERCOM_SECRET | Yes | *none* | Shared secret — must match on both sides. There is no default: unset, left as a docs placeholder, or an unexpanded ${VAR}, and the intercom refuses to pair |
INTERCOM_PORT | No | 8788 | Port to listen on for incoming messages |
| INTERCOM_HOST | No | 0.0.0.0 | Interface to b
冒頭だけを表示しています。続きはリポジトリで読めます