프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Call Copilot

제작자: AnisurRahmann버전 0.4.3i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.AnisurRahmann/call-copilot

설치

개요

제작자가 쓴 설명(영어 원문)

Search and read locally-recorded meeting transcripts over stdio. Read-only, no network.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 검색 및 AI 기억

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

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 mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .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.

VS Code에서 열기

또는 설정을 직접 복사하기

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.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 AnisurRahmann 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

검색 및 AI 기억 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 7258개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 7258개 중 29%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 7258개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Call Copilot, 안전한가요?

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.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.4.3)은 3개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Context7

제작자: upstash

Up-to-date docs for AI agents

컴퓨터 또는 클라우드★ 64,224MIT오늘 업데이트
설치

Codebase Memory

제작자: DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

내 컴퓨터에서 실행★ 48,148MIT20일 전 업데이트
설치

Exa

제작자: exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

클라우드에서 실행★ 5,213MIT지난달 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Call Copilot

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

How it captures audio (no BlackHole, no Multi-Output Device)

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:

  • no virtual audio driver to install (no BlackHole),
  • no Multi-Output Device to create in Audio MIDI Setup,
  • no system output device to switch and restore,
  • and therefore no silent-recording failure that the old driver-based approaches produce when routing breaks.

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.

Grant capture permission (one-time, per terminal app)

macOS ties capture permission to the app you run rec from (Terminal, iTerm, Warp, VS Code, …). You need two grants:

  1. Microphone (your voice): System Settings → Privacy & Security → Microphone → enable your terminal app.
  2. System audio (grouped under Screen Recording on macOS 14.2+): System Settings → Privacy & Security → Screen Recording → enable your terminal app, then quit and reopen it (required for the change to take effect).

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

Requirements

  • macOS 14.2 or later (Sonoma — the Core Audio process taps API rec records through landed in 14.2). Apple Silicon recommended. Intel works.
  • Python 3.11+ only needed for the 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.

Install

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 rec on 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.

Recording consent & privacy

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:

  • Transcription runs 100% locally with faster-whisper (CPU, int8) — no API, no cloud.
  • Audio and transcripts never leave your machine. The only network access is the first run of a given Whisper model, which downloads its weights from Hugging Face; after that it's fully offline.
  • Recordings live under ~/.local/share/rec/sessions/ (XDG data home), outside any repo.

One-time setup

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.

Recording a meeting

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 (and rec stop) warn you

about this immediately, and rec diagnose bundles the audio levels + logs.

Use your meetings from Claude Code

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:

  • *"What did the client actually ask for on Tuesday's call?"* — it searches the transcripts, finds the line, and cites the session id (e.g. 2026-07-28_12-25-20) with a timestamp.
  • *"List my meetings from last week with their durations."* — it lists sessions, narrowing by date.
  • *"Show me the full transcript of the standup where we discussed the API migration."* — it finds the session, then reads the whole transcript.

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.

Other MCP clients (Cursor, Zed, Cline, …)

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.

Official MCP Registry

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.)

Browser UI

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.

Configuration

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.

A note on sample rate (why your recordings play at the right speed)

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).

A note on VAD (voice activity detection)

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

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