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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

shyn

de shyn-labsversión 0.6.3-alphai★ –iSe ejecuta en tu computadora
Nombre en el registroday.shyn/shyn

Instalar

Resumen

Descripción del creador (original en inglés)

Local-first ambient memory for your Mac — pages, meetings, notes, encrypted on-device.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Documentos, hojas de cálculo y oficina

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Descargar el archivo .mcpb del creador

El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.

Ejecuta esto en tu terminal

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.

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.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con el dominio shyn.day (el registro comprueba quién es dueño del dominio)

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Documentos, hojas de cálculo y oficinai

  • Más estrellas que el 0% de los otros 2188 servidores de esta categoría
  • Publicado en el registro más recientemente que el 93% de los otros 2188 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 2188 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro shyn?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.6.3-alpha) llegó al registro anteayer.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas MCPB en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternativas

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

Agent-Native Google Calendar - manage events, sync, and public booking

Se ejecuta en la nube★ 7620MITActualizado hace 2 meses
Instalar

Excel MCP Server

de haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

Se ejecuta en tu computadora★ 4276MITActualizado hace 6 días
Instalar

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Se ejecuta en tu computadora★ 847MITActualizado hace 3 días
Instalar

README del creador

Abrir el README

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.

shyn — your Mac's memory, on tap ☀️

[shyn.day](https://shyn.day) · macOS (Apple Silicon) · pre-alpha · Elastic License 2.0

Shyn is the always-on memory companion for your Mac. It quietly remembers what you see, hear, and read — your screen, your meetings, your browsing, your notes — and gives your AI assistant total recall over *your* life. Ask Claude "what did we decide in yesterday's standup?" or "where did I read about that retention bug?" and get an answer grounded in your own history, not the internet's.

Your memory stays local. Private by design. Everything shyn captures lives in an encrypted database on your Mac. Nothing it captures is uploaded, synced, or phoned home — the only bytes that ever leave your machine are the few snippets relevant to a question *you* chose to ask, sent to the AI *you* chose to ask it.

During beta, shyn also sends anonymous usage data. shyn runs across different macOS versions, hardware, and permission states, and those combinations produce bugs we cannot reproduce or test for. Most people who hit one never write in; they just quit the app. So shyn reports which features get used, what crashes, its version, and timing numbers, tied to a random ID that is not you.

It never includes anything shyn captured. No screen text, no transcripts, no searches, no identity. You choose on first run, and one click in Settings changes it any time. Turn it off and shyn is exactly what it promises above: nothing but your own questions leaving your machine.

Status: pre-alpha. Shyn is young, moving fast, and macOS-only

(Apple Silicon). Expect rough edges and breaking changes. Install is a

two-command Homebrew cask (brew install + shyn setup) — the apps are

self-signed and re-signed locally by shyn setup, not Apple-notarized;

notarized one-click installs are on the roadmap.

Why shyn

  • 🧠 Total recall, instantly. Hybrid search — keyword (FTS5/BM25) + semantic (on-device embeddings) — across everything you've captured, in milliseconds, over a local socket.
  • 👁️ Ambient screen memory. A featherweight agent captures the text on your screen as you work — what you read, wrote, and clicked becomes searchable history.
  • 🎙️ Meetings, remembered. Shyn detects your calls, records both sides locally, transcribes on-device with Whisper, and files a speaker-labeled transcript into your memory. Audio never crosses a socket and is purged the moment the transcript lands — text in, bytes gone. Grant Calendar access and transcripts get titled from the event they belong to ("Sprint standup", attendees included) — read from your Mac's own calendar store, no Google API, nothing leaves the machine.
  • 🌐 Your digital trail, connected. Chrome and Safari history and Apple Notes flow in automatically; files and PDFs on demand.
  • ☀️ Glanceable peace of mind. A frosted-glass menu bar companion shows everything is running — one sun in your menu bar, four live states, a pulsing red dot whenever a meeting is being recorded. Never silent, never sneaky.
  • 🔒 Consent-first capture. Recording announces itself and is cancellable in its grace window. Pause everything with one click or shyn pause 30m. Exclude apps. Delete anything — forget is byte-honest: vacuumed, gone, not soft-deleted.
  • ⚡ Instant-on by design. Keyword search works from second zero; the embedding model downloads in the background and results silently upgrade to hybrid. The model is never on the critical path.

How it works

A background daemon owns an encrypted SQLite index (key in your macOS Keychain) and serves JSON-RPC over a unix socket. Capture agents — screen, meetings — and source readers — Chrome, Safari, Apple Notes — feed it. Your AI talks to it through six MCP tools (plus an optional seventh, search_files, below). That's the whole trick: one private index, many memories, any MCP-speaking assistant.

ToolWhat your AI gets
search_memory(query, …)Hybrid search with provenance — the workhorse
recent_activity(hours?, …)Orientation timeline; great first call on vague questions
`get_document(uri \doc_id, …)`Read a whole document (a full transcript, a whole note) instead of excerpts
remember(content, tags?)Explicit "write this down" memory
`forget(doc_id \source \time-range, confirm)`Honest deletion; refuses without confirm: true
memory_status()Health, index counts, model download %, connected sources
search_files(query, kinds?, folder?, limit?)Optional: find your own files by meaning, via the separate thatone app
File search (optional)

search_files finds files on your Mac (images, PDFs, documents, audio, video, text) by what they contain. It needs the separate thatone app (source-available, Elastic License 2.0, macOS on Apple Silicon, pre-alpha) running on the same Mac. shyn itself indexes no files; thatone owns the file index.

  • What is sent: only the query text and the optional kinds, folder and limit go to thatone's local socket. Neither program sends anything over the network. Results (paths and short snippets of your own files) go to your AI client exactly like search_memory results do.
  • What comes back: file paths (Photos items show as "in: Apple Photos, name"), the kind, the time inside recordings and videos, the page for PDFs and a snippet of at most 300 characters. These enter your AI's context exactly like search_memory results do, so installing and running thatone is your choice.
  • Off switch: there is no setting. Quit or uninstall thatone and the tool disappears within about 20 seconds; shyn re-checks that often.
  • Socket: defaults to ~/Library/Application Support/thatone/thatone.sock; override it with the environment variable SHYN_FILE_SEARCH_SOCKET.
  • Status: the last line of memory_status is file search: ready (thatone), file search: not running (thatone) or file search: not installed (thatone).

Quickstart

Install with Homebrew (recommended)
brew install --cask shyn-labs/tap/shyn

shyn setup

Two commands: the cask verifies the download against its pinned checksum, and shyn setup starts everything and walks you through permissions via the ☀️ menu bar window. No Node, no Xcode, no cloning. Read the cask's caveats — they're the honest fine print (local signing, quarantine, EDR). Update later with brew upgrade shyn && shyn setup.

Or build from source (for contributors)
pnpm install

start the daemon (first run downloads the embedding model in the

background; search works before that finishes)

pnpm --filter @shyn/daemon start

Register the MCP server with Claude Code:

claude mcp add shyn -- pnpm --dir <path-to-shyn-repo> --filter @shyn/mcp-client exec tsx src/main.ts

Substitute with the absolute path where you cloned this repo (e.g. the output of pwd run from inside it).

Feed it something and ask Claude about it:

pnpm shyn ingest /absolute/path/to/some/folder

Use an absolute path: it's stored as the document's uri. Ingest accepts a single file (.md, .txt, .pdf) or a directory to walk. Pull in browser history and Apple Notes any time with pnpm shyn sync.

Go full companion (daemon + agents + menu bar) — one command
pnpm setup

That's it: installs dependencies, creates a stable local signing identity, builds the daemon bundle + capture agents + status app, and starts everything under launchd. Idempotent — re-run it after every git pull.

Under the hood it stages and starts everything — daemon, screen agent, meeting agent, and the menu bar status app — surviving reboots, logging to ~/Library/Logs/shyn/. Grant the permissions macOS asks for (Microphone + System Audio for meetings; Screen Recording + Accessibility for screen capture; Full Disk Access only if you want Safari/Notes — everything else works without it, no dark patterns, no nagging).

pnpm shyn uninstall           # stop + remove, keep data

pnpm shyn uninstall --purge # scorched earth: data, logs, keys

Claude Desktop

pnpm build:mcpb produces dist/shyn.mcpb — drag it onto Claude Desktop's Settings → Extensions page. (Registers the MCP client; the daemon must be running via install above.)

Other clients, including fully local models

Shyn is a standard stdio MCP server — any MCP client works, and your memory never has to touch a paid API at all. Tested so far:

  • Claude Code / Claude Desktop — daily drivers, best-in-class at knowing *when* to reach into memory unprompted.
  • Qwen3 14B running locally (MLX on Apple Silicon) via Open WebUI, with mcpo bridging MCP to OpenAPI:
  uvx mcpo --port 8600 -- "$HOME/Library/Application Support/shyn/bin/shyn-mcp"

then add http://localhost:8600 as a tool server in Open WebUI

Honest notes from testing: retrieval quality is identical everywhere — the ranking runs inside the daemon, not the model. What varies is the driver. Smaller local models answer well when you're explicit ("search my memory for…") but are less reliable at deciding to search on their own, and thinking-mode models may need their reasoning reined in (/no_think for Qwen3). Budget ~10GB of unified memory for a 14B model alongside the daemon.

Everyday controls

pnpm shyn status                    # daemon + agents + index health

pnpm shyn search "that one thing" # search from the terminal pnpm shyn pause 30m # pause all capture (2h, until-tomorrow too); resume to undo pnpm shyn exclude com.1password.1password # never capture an app pnpm shyn meeting status # live meeting controls (stop | cancel too) shyn voice forget-self # delete shyn's sample of your voice

…or skip the terminal entirely and click the ☀️ in your menu bar.

The fine print (we sweat it so you don't)

  • Encryption at rest protects against stolen disks and leaked backups — not against malware running as your own user. We say this out loud.
  • Meetings: channel-based speaker labels (Me: / Others:, the default while speaker separation is off), 10-second cancellable grace before any recording, 180-minute hard cap, temp audio byte-purged on ingest. For a room, a talk or a speakerphone — anything shyn cannot hear itself into — click Start recording in the menu bar: a short form asks what it is and who is there, both optional, and the answers become the title and the attendee list (same from the terminal: shyn meeting start "Day 5 review" --with "Maya R, Dev P"). Every meeting also records the time zone the Mac was in, so a trip is searchable later. Transcription defaults to Whisper small; at that size Hindi/Hinglish and other non-English speech often lands as an English gist (documented, not hidden). For markedly better multilingual transcripts, click Multilingual under "Meeting language" in the menu bar popover (a ~3GB one-time download that starts immediately; the popover says plainly which model your next meeting will use). Same switch by hand: "meeting": { "whisperModel": "large-v3_turbo" } in ~/Library/Application Support/shyn/capture.json (any WhisperKit model name works there; the popover shows an unrecognised one as "custom"). Config hot-reloads, no restart. Transcription decodes only the voiced stretches of each channel, several at a time ("chunkedTranscription": false restores the whole-channel decode); the log line for every meeting reports how much of each channel carried voice.

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx