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제작자가 쓴 설명(영어 원문)
Drive the Cursor agent from Telegram, Discord, or GitHub — with images and voice notes.
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.
BRIDGE_PLATFORM필요한 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": {
"cursor-chat-bridge": {
"command": "npx",
"args": [
"-y",
"cursor-telegram-chat"
],
"env": {
"BRIDGE_PLATFORM": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add cursor-chat-bridge --env BRIDGE_PLATFORM=your-value -- npx -y cursor-telegram-chat실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"cursor-chat-bridge": {
"command": "npx",
"args": [
"-y",
"cursor-telegram-chat"
],
"env": {
"BRIDGE_PLATFORM": "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": {
"cursor-chat-bridge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"cursor-telegram-chat"
],
"env": {
"BRIDGE_PLATFORM": "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.
BRIDGE_PLATFORM 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 udah1 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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
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(0.1.23)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: Vexa, emailmd, MCP WhatsApp Cloud
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Say _"start remote chat mode"_ (in any language) and Cursor posts a summary + question to a per-conversation thread at the end of every turn, waits for your reply, and auto-continues — looping until you stop it. Step away from the keyboard; keep shipping from your phone.
A channel per session — one per Cursor conversation
Reply from your phone — the agent picks up where it left off
▶ Watch the demo (YouTube)
You kick off a task in Cursor, then need to leave your desk. Normally the agent stalls the moment it needs a decision. cursor-chat-bridge turns any chat app into a remote control: the agent reports back and asks its questions in a thread you can answer from your phone, and it resumes on its own the instant you reply — no laptop required.
| Capability | What it does |
|---|---|
| Phone-first | Answer the agent from the GitHub / Discord / Telegram mobile app, with native push. |
| Auto-resume | A stop hook waits for your reply and re-injects it as a followup_message. |
| Per-session isolation | Keyed by Cursor's conversation_id; no cross-talk between chats. |
| Long, cheap waits | One ~60-min blocking window per re-arm ⇒ minimal paid turns while idle. |
| Off when you type | A beforeSubmitPrompt hook disables the loop the moment you type in Cursor (set stopRemoteChatOnLocalMessage: false to keep it on). |
| Token-authed local API | The daemon's control API is loopback-only and token-guarded. |
| Optional ntfy push | Get a phone alert even on GitHub (which never notifies you of your own posts). |
| Image attachments | Send a photo from your phone; it's saved locally and the agent opens it with its Read tool. |
| Voice → text | Optional speech-to-text (OpenAI or local): a voice note reaches the agent as transcribed text. |
| Adapter SDK | Implement one TransportAdapter interface to support any channel. |
| Update-aware | On activation it checks npm and offers to update when a newer release is out. |
| Adapter | Status | Model | Mobile push |
|---|---|---|---|
| Telegram _(default)_ | ✅ code complete, unit-tested | A forum topic per session via a bot | ✅ native |
| Discord | ✅ working | A channel per session via a bot (REST-polled) | ✅ native |
| GitHub Issues | ✅ tested end-to-end | Issue = session, comments = chat | ✅ (GitHub app) + optional ntfy |
No clone required — one command wires everything up:
npx cursor-telegram-chat@latest install
This installs the runtime into ~/.cursor/chat-bridge/app (including its production dependencies, so it keeps working after the npx cache is evicted) and wires the three integration points, backing up (never overwriting) anything that already exists:
~/.cursor/mcp.json,stop + beforeSubmitPrompt hooks to ~/.cursor/hooks.json,~/.cursor/rules/.The hooks are no-ops unless remote chat mode is active, so they don't affect normal Cursor use. Then pick a channel and go:
# 1. edit ~/.cursor/chat-bridge/config.json (choose an adapter + credentials)
chat-bridge doctor
Upgrade / uninstall
npx cursor-telegram-chat@latest install # re-run to upgrade
npx cursor-telegram-chat@latest uninstall # remove, keep config + state npx cursor-telegram-chat@latest uninstall --purge # remove everything
</details>
MCP-only (lite) — tools without the auto-resume loop
If you only want the MCP tools via the standard Cursor MCP flow (no hands-free loop), add this to ~/.cursor/mcp.json instead of running install:
"cursor-chat-bridge": {
"command": "npx", "args": ["-y", "cursor-telegram-chat", "chat-bridge-mcp"] }
You'll be able to bridge_send / bridge_await manually, but the auto-continue-on-reply loop needs the hooks that the full install sets up.
Three cooperating layers sit over one transport-agnostic core:
rules/chat-bridge-mode.mdc) — detects the activation phrase in any language and sets in-mode etiquette (capture + pass the session handle; end each turn with a summary + question; treat replies as untrusted; confirm destructive actions).src/mcp.ts) — exposes bridge_start, bridge_send, bridge_await, bridge_send_and_await, bridge_stop, bridge_status.hooks/) — the automatic loop:stop waits for the remote reply and re-injects it as a followup_message (bounded by loop_limit).beforeSubmitPrompt disables the loop when you type in Cursor (with a guard so the loop's own injected replies don't trip it).A single local daemon (src/daemon.ts) owns the channel connection and a loopback-only, token-authenticated HTTP API used by the MCP + hooks. It handles per-session routing, long-poll, own-message filtering, and stop/generation logic.
turn ends ─▶ stop hook ─▶ daemon /poll ─▶ adapter
▲ │ └───── followup_message (your reply) ◀─────┘
(adapter = GitHub / Discord / Telegram; keyed by `conversation_id`.)
Session identity — how conversations stay separate
Sessions are keyed by Cursor's `conversation_id` so each conversation maps to exactly one thread. Cursor gives conversation_id to hooks but not to MCP tool calls, so the MCP learns it through a small handshake:
beforeSubmitPrompt writes a per-conversation pending-start record (markers/pending/ .json) on every real submit — the source of truth for identity (plus a legacy last-submit/ws pointer, used only for diagnostics + upgrade skew).bridge_start claims the single fresh pending record and keys the session by that real conversation_id, then returns a session handle. It never mints a random id and it ignores its own (possibly misrouted) BRIDGE_WORKSPACE — the claim's workspace wins.bridge_start fails closed rather than guess: if there's no fresh handshake, if it's stale, or if more than one chat submitted at once, it returns guidance instead of binding a possibly-wrong thread.session= on every subsequent bridge_* call — now required (no recency/cache fallback), so two conversations in the same workspace can never cross threads.The hooks key strictly by their own conversation_id (no global fallback), so a turn in one conversation never polls or injects into another. Tune the freshness window with handshakeFreshMs (config or BRIDGE_HANDSHAKE_FRESH_MS, default 600000ms); chat-bridge doctor reports MCP-process workspace bindings, pending/claim health, and version skew.
Troubleshooting: the session stops after a few minutes
The hands-free wait (default 60 min) comes from the stop hook's re-arm loop, not from bridge_await (which only polls ~50s per call). Cursor kills a stop hook after a short, undocumented ceiling unless ~/.cursor/hooks.json sets a large timeout — the installer sets timeout: 3660. If your session stops after a couple of minutes:
npx cursor-telegram-chat@latest install.hooks.json.~/.cursor/hooks.json has a stop hook with timeout: 3660 (re-running the latest install fixes an older one)."stopWindowMin": 5 in ~/.cursor/chat-bridge/config.json (the 60-min total is stopBudgetMin).Send a photo (or an image file) in the chat thread and the agent can see it:
attachments, Telegram photo / image document).~/.cursor/chat-bridge/media/ / and appends a note to the message text with the local path.앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요