Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Search and read locally-recorded meeting transcripts over stdio. Read-only, no network.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"call-copilot": {
"command": "uvx",
"args": [
"call-copilot",
"--from",
"call-copilot",
"rec",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add call-copilot -- uvx call-copilot --from call-copilot rec mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"call-copilot": {
"command": "uvx",
"args": [
"call-copilot",
"--from",
"call-copilot",
"rec",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"call-copilot": {
"type": "stdio",
"command": "uvx",
"args": [
"call-copilot",
"--from",
"call-copilot",
"rec",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub AnisurRahmann, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.4.3) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Up-to-date docs for AI agents
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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)
Solo se muestra el principio; lee el resto en el repo