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제작자가 쓴 설명(영어 원문)
Search and read locally-recorded meeting transcripts over stdio. Read-only, no network.
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.
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": {
"call-copilot": {
"command": "uvx",
"args": [
"call-copilot",
"--from",
"call-copilot",
"rec",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add call-copilot -- uvx call-copilot --from call-copilot rec mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"call-copilot": {
"command": "uvx",
"args": [
"call-copilot",
"--from",
"call-copilot",
"rec",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"call-copilot": {
"type": "stdio",
"command": "uvx",
"args": [
"call-copilot",
"--from",
"call-copilot",
"rec",
"mcp"
]
}
}
}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.
이 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 7일 점검
레지스트리 이름이 GitHub 계정 AnisurRahmann 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(0.4.3)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
One thing. Done really well. Record meetings. Save transcripts. Don't break audio.
Call Copilot is a terminal command (rec) that records your meeting audio and, when you stop it, transcribes locally and saves a clean markdown transcript. Everything runs on your machine — no cloud, no API keys, no account. Audio and transcripts never leave the computer.
$ rec setup # one-time: verify macOS + grant capture permission
$ rec start # starts recording, you keep working $ rec stop # stops, transcribes, saves markdown $ rec list # shows past recordings
By default, rec captures both the microphone (your voice) AND system audio (other participants / anything apps play) — so a real meeting where *you* speak gets recorded, not just the audio coming out of your speakers. Both sources are tapped directly via Apple's Core Audio taps API (macOS 14.2+) using the audiotap library. There is:
The mic and system streams are recorded as two separate WAVs (each at its own true rate), transcribed separately, and merged into one transcript with [Mic] / [System] labels so you can tell who said what. Want just one source? rec start --mic-only or --system-only.
macOS ties capture permission to the app you run rec from (Terminal, iTerm, Warp, VS Code, …). You need two grants:
Until mic is granted, rec start records system audio only and skips the mic (it tells you so). rec setup checks the current mic-permission status.
After rec stop (or Ctrl+C from rec start), the recording(s) are transcribed locally with faster-whisper (CPU, int8 — no API, no data leaves your machine) and written to a markdown transcript.
recording.wav ──> faster-whisper (local, free) ──> transcript.md
rec records through landed in 14.2). Apple Silicon recommended. Intel works.pipx install; the Homebrew formula brings its own.No virtual audio driver (no BlackHole), no Multi-Output Device, no manual Audio MIDI Setup. The tap reads system output directly. rec checks the macOS version itself and refuses to run below 14.2 with a one-line message — you don't have to guess.
Homebrew (recommended — no Python to manage):
brew install AnisurRahmann/tap/call-copilot
pipx (if you prefer a plain Python install, no Homebrew):
pipx install call-copilot
Either way you get a rec command on your PATH. Then jump to One-time setup.
Using
recon a machine below macOS 14.2 prints `Error: rec requires macOS 14.2 or
later ...` and exits — no traceback, no mystery. See
docs/HOMEBREW.md if you're setting up the tap yourself.
Call Copilot records audio from your meetings, which may include other participants. Recording laws vary by jurisdiction and many require the consent of everyone being recorded (one-party vs. all-party consent). Obtaining that consent is your responsibility — check your local laws and your organization's policy before recording.
On the technical side, your data stays put:
~/.local/share/rec/sessions/ (XDG data home), outside any repo.rec setup
Verifies your macOS version, that the audiotap library + its bundled dylib load, saves your config, and tells you about the one-time capture permission prompt.
rec start # mic + system (default); Ctrl+C to stop & transcribe
rec start --system-only # just what apps play (not your voice) rec start --mic-only # just your voice (not system audio) rec list # browse past sessions rec transcribe 2026-07-27_14-30-00 --model medium # re-transcribe at higher quality rec diagnose 2026-07-27_14-30-00 # bundle debug info for an AI agent
By default rec start records both your microphone and system audio; the transcript labels each line [Mic] or [System]. Use --system-only / --mic-only to narrow.
`rec start` shows a live indicator while recording:
● REC 2026-07-28_14-30-00
elapsed 03:47 size 18.2 MB press Ctrl+C to stop & transcribe
Press Ctrl+C when your meeting ends — it stops the recording and transcribes in the same command, then prints the transcript path. One command, start to finish.
Want the old background behavior instead? rec start --detach spawns the recorder and exits immediately; stop it later from another terminal with rec stop (or check progress with rec status).
Tip: if a transcript comes back empty, the recording was silent — nothing was
playing, or the capture permission was revoked.
rec start(andrec stop) warn you
about this immediately, and
rec diagnosebundles the audio levels + logs.
rec ships an MCP server (the open protocol Claude Code, Cursor, Zed, Cline, and other AI tools speak). Point any MCP client at your locally-recorded transcripts and ask questions about them — answers come back with the session id cited, so you can check the exact moment. Nothing leaves your machine: the server is strictly read-only and makes no network calls.
rec mcp install # writes the server entry into Claude Code's config
Then restart Claude Code and ask, for example:
2026-07-28_12-25-20) with a timestamp.Three tools are exposed: list_sessions (find a meeting by date), get_session (read a whole transcript), and search_transcripts (find specific lines across long transcripts — pass it keywords like pricing discount, not a full sentence). The search index lives at ~/.local/share/rec/index.db; it builds lazily on first search and is a disposable cache — rec index refreshes it, rec index --rebuild recreates it from scratch.
rec mcp install prints a config block that works in any MCP client. For Cursor, paste it into .cursor/mcp.json; for Zed, into settings.json under mcp_servers. It looks like:
{
"call-copilot": { "type": "stdio", "command": "rec", "args": ["mcp"] } }
You can also run the server directly with rec mcp (stdio transport) if a client prefers a raw command.
Call Copilot is listed on the official MCP Registry under io.github.AnisurRahmann/call-copilot. Any MCP client that speaks the registry can discover and add it from there. The registry entry runs the server with:
uvx --from call-copilot rec mcp
(The PyPI package is call-copilot; the command it installs is rec, so the server is launched as rec mcp.)
rec web opens a local browser tab — a read-mostly viewer for sessions you've already recorded, plus Start/Stop controls. It's modelled on the qBittorrent / Transmission web UI: a loopback HTTP server serves a single-page app that drives the same session store the CLI uses. The terminal can't show a live capture meter, a seekable audio player beside its transcript, or a session list you can skim in one glance — the browser can, so the UI exists for exactly those three things.
rec setup # one-time, in a terminal (the UI can't grant capture permission)
rec web # opens a browser tab at http://127.0.0.1:7717
From the tab you can browse sessions, play and seek the audio next to its transcript, search across every transcript, and Start/Stop a recording. Start calls the same recorder the CLI does; Stop queues transcription and the page polls until the transcript is ready. If no config is found, the Start button tells you to run rec setup in a terminal first.
The server binds to 127.0.0.1 only — the host is not configurable, by design (a local tool must not become an open transcript server). --port overrides the default port; --no-open skips the automatic browser tab.
What this is not. The UI is still not a real-time transcription
surface — the transcript arrives after Stop, exactly as in the CLI, and there
is still no cloud, no sync, and no account. Every action in the browser maps
to a command that already exists; if a feature has no CLI equivalent, it is
not in the UI.
Stored at ~/.config/rec/config.json (XDG). Recordings live under ~/.local/share/rec/sessions/{id}/. Override the XDG roots with XDG_CONFIG_HOME / XDG_DATA_HOME if needed.
{
"sample_rate": 16000, "channels": 1, "whisper_model": "base", "capture": "system", "sessions_dir": "~/.local/share/rec/sessions" }
16 kHz mono float32 is Whisper's native input format — no resampling, smallest files (~7.5 MB/min), best transcription accuracy.
audiotap's sample_rate parameter is not honored — the tap always delivers audio at your output device's native rate (typically 48 kHz), regardless of what we request. rec handles this transparently: the recorder measures the true capture rate when the tap starts and writes the WAV at that rate (so playback is the correct speed), and the transcriber resamples to 16 kHz before feeding Whisper (so transcription is accurate). You don't need to do anything; this section exists to explain the capture_sample_rate field in session.json (which may differ from the sample_rate in your config).
Transcription runs without faster-whisper's Silero VAD pre-filter by default. The VAD is tuned for close-mic speech and aggressively rejects system-audio capture (speakers/headphones via a tap, which has a different character)
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요