Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Relays messages between two Claude Code sessions on different machines using the Channels API
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
MY_ROLE, REMOTE_HOST, INTERCOM_SECRET, INTERCOM_PORT, INTERCOM_HOST, INTERCOM_SEND_TIMEOUT_MS비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-intercom실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
INTERCOM_PORT envINTERCOM_HOST envINTERCOM_SEND_TIMEOUT_MS env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 MuhammadTalhaMT 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: MY_ROLE, REMOTE_HOST, INTERCOM_SECRET
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(2.1.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, AI Deprecations
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요