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

Docmancer

de docmancerversión 0.9.17i★ –iSe ejecuta en tu computadora
Nombre en el registrodev.docmancer/docmancer

Instalar

Resumen

Descripción del creador (original en inglés)

Local-only MCP server for source-attributed Markdown memory and documentation retrieval.

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: Búsqueda y memoria de IA

Instalación

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

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿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": {
    "docmancer": {
      "command": "uvx",
      "args": [
        "docmancer",
        "mcp",
        "serve"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add docmancer -- uvx docmancer mcp serve

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "docmancer": {
      "command": "uvx",
      "args": [
        "docmancer",
        "mcp",
        "serve"
      ]
    }
  }
}

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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "docmancer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "docmancer",
        "mcp",
        "serve"
      ]
    }
  }
}

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 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con el dominio docmancer.dev (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 Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7240 servidores de esta categoría
  • Publicado en el registro más recientemente que el 30% de los otros 7240 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7240 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 Docmancer?

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 (0.9.17) llegó al registro hace 3 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

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

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado hace 3 días
Instalar

Codebase Memory

de DeusData

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

Se ejecuta en tu computadora★ 48.148MITActualizado hace 20 días
Instalar

Exa

de exa-labs

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

Se ejecuta en la nube★ 5213MITActualizado hace 44 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.

Docmancer

Your AI coding environment, restored on every machine.

Website · Documentation · Blog · Changelog · Discussions

Your coding agents remember what happened on one machine

Agent backup and restore are development-preview commands. Local encrypted archives are available now. Managed Cloud snapshots remain gated on migration and recovery acceptance.

Docmancer securely restores their sessions, memory, and setup, then makes the useful project context available to every agent you use.

Claude Code and Codex can search the files they already wrote on one machine. A normal dotfile tool can copy directories. Neither gives you an agent-aware, secret-stripped backup with structural verification, project mapping, conflict quarantine, and a reviewed path from raw history to shared project memory.

Start by seeing what Docmancer can protect:

docmancer backup --dry-run

Create a free passphrase-encrypted local archive:

docmancer backup --local --to ~/Backups/agents.dmbak

On a new machine, close Claude Code and Codex and preview the restore:

docmancer restore ~/Backups/agents.dmbak --dry-run

docmancer restore ~/Backups/agents.dmbak

Docmancer restores missing history, skips identical files, merges only safe configuration, and quarantines divergent sessions. It never copies authentication stores, .env files, literal MCP environment values, caches, logs, telemetry, or machine keys.

After backup or restore, local consolidation finds durable decisions and constraints in the protected histories. Every proposal links to exact transcript evidence and waits for review:

docmancer consolidate

docmancer consolidate --review PROPOSAL_ID docmancer consolidate --approve PROPOSAL_ID

Your agents already learned this. They just cannot tell each other.

Claude Code knows why you moved off Railway. Codex learned your migration convention. Cursor is still following a rule you overruled two months ago. Each agent wrote something down, none of them agree, and none of it is anywhere you can read.

That knowledge is real, and it is already on your disk. It is sitting in CLAUDE.md files, AGENTS.md files, Cursor rules, agent memory directories, and session history, in a different place and a different format for every tool you use.

Docmancer is built around two questions, in this order:

  1. I re-explain my project to every coding agent. How do I get them all working from the same context? Docmancer arranges the durable parts as plain local Markdown you can read and edit, then delivers the relevant files to every agent you connect, so a decision you record once reaches all of them.
  2. What do my coding agents already know about me and my working style? Docmancer indexes the memory, instructions, and rules they wrote on this machine, and keeps the contributing source attached to every claim, so you can read the answer instead of guessing at it.

Nothing leaves your machine unless you ask it to. There is no telemetry, no account, and no API key needed for the core product.

Install

pipx install docmancer

pipx ensurepath export PATH="$(pipx environment --value PIPX_BIN_DIR):$PATH" docmancer setup

pipx ensurepath makes the change persistent for future terminals. The export line makes Docmancer available in the current terminal immediately, which matters in an existing SSH session. If docmancer still reports command not found, reconnect over SSH and try again.

If you use uv, uv tool install docmancer installs it the same way.

setup finds every supported coding agent, shows you one complete plan and privacy warning, and waits for your confirmation before it changes anything. Then it indexes what it found, builds your canonical memory, installs the agent skills, and turns on automatic recall where the agent supports it.

Ask it something:

docmancer ask "Why did we choose Railway?"

You get a bounded, cited answer built from your own agents' evidence. Then open the app for the current project:

cd /path/to/your-project

docmancer web

That is the whole first run. It takes about a minute, and setup does not modify the project you are standing in.

What you get

One memory instead of six. Every supported agent reads from the same canonical Markdown, so a decision recorded once is available to Claude Code, Codex, Cursor, Gemini, and the rest without you copying it around.

Answers with receipts. Recall returns the mandatory policy, the curated memory, and the supporting agent evidence with stable citations, so you can see which agent said what and when. The optional language model turns that evidence into prose but never chooses what goes into it.

Files you own, not a database. Shared Memory is ordinary Markdown in ordinary directories. You can open it in your editor, commit it, grep it, or delete it. Stable docmancer://memory/ addresses keep working even after you move a file.

Local and offline by default. The default profile uses SQLite FTS5, sqlite-vec, and a small vendored embedding model. No daemon, no model download, no network call, no key.

Edits that cannot clobber each other. Changing or moving an existing memory file requires the content hash you last read, so one agent cannot silently overwrite a newer decision made by another.

Approval before anything is written. When you ask Docmancer to remember or change something, it prepares one complete file proposal and shows you the diff. The default answer is no, and a later "yes" in conversation never applies a stored proposal.

Take the same memory to a VPS or another machine

The complete product above is free on one machine. Optional paid Personal Sync adds encrypted transport, managed revision history, devices, and recovery when you work across a laptop, VPS, or other machines.

On the machine that already has your memory, run:

docmancer cloud connect

Sign in through the browser. Docmancer creates and checks a recovery kit, shows it once for offline storage, and starts the first encrypted upload automatically. The account page then asks for a payment method to start the 30-day trial. There is no separate recovery verification or first-sync command.

On the VPS or second machine, install Docmancer and run:

docmancer setup

docmancer cloud connect

The new machine shows a four-word pairing code. Run docmancer cloud connect on an already connected machine, confirm the same four words, and approve it. Then run the command once more on the new machine. Docmancer downloads the machine-wide Shared Memory tree and any project trees mapped on that machine. If every connected machine is unavailable, use docmancer cloud connect --recover and enter the offline recovery kit.

The selected monthly or yearly subscription begins automatically after the trial unless you cancel. A failed renewal has a fixed 7-day upload grace period, followed by a 30-day read-only pull and export window before hosted ciphertext is scheduled for deletion. Local memory and every local feature keep working in every billing state. See the Personal Sync guide for the full journey.

See what each agent actually receives

Run docmancer web and open Shared Memory. The left pane is the real file tree on disk, the middle pane reads the selected file with its provenance, and the right pane lists your connected agents. Select an agent to inspect the exact bounded projection it will receive, before it receives it.

The scaffold is opinionated, but the files are yours:

~/.docmancer/tree/                 # machine-wide, follows you between projects

├── profile/ │ ├── about.md │ └── preferences.md ├── principles/ │ └── working-style.md ├── projects/ │ └── active.md └── shared/

/.docmancer/tree/ # per project ├── overview.md ├── decisions/ ├── constraints/ ├── workflows/ └── lessons/

Connect your agents

docmancer setup installs everything it detects. To manage one integration on its own:

docmancer agent install claude-code --hooks

docmancer agent install codex --hooks

AgentSkill fileAutomatic recallSession captureMCP
Claude CodeYesYesYesYes
Codex (CLI, app, desktop)YesYesYesYes
CursorYes
ClineYes
Gemini CLIYes
OpenCodeYes
GitHub CopilotYes
Claude DesktopManual uploadYes

Installed skills teach an agent when to ask Docmancer for prior decisions and how to write deliberate memory when you explicitly request it, which is why every supported agent can use the same memory. Automatic recall and session capture need lifecycle hooks, and only Claude Code and Codex expose those today, so the other agents recall on demand through their skill file instead.

MCP is an alternative transport over the same local services, not a second memory store:

docmancer mcp install codex

docmancer mcp doctor

Record a decision on purpose

Discovery finds what your agents already wrote. When you want something recorded deliberately:

docmancer write $'# Deployment\n\nDeploy the API on Railway.' \

--path decisions/deployment.md \ --scope project

Read it back later, from any agent or from your shell:

docmancer read decisions/deployment.md

Or let Ask do it, with an approval step:

docmancer ask "Remember that production releases require a smoke test"

docmancer ask "Update decisions/release.md to require two reviewers" --apply

Everyday commands

CommandPurpose
docmancer setupDiscover agent memory and connect every supported agent.
docmancer ask "..."Recall evidence, answer a question, or propose one memory change.
docmancer webOpen the local app for the current project.
docmancer commonShow what several agents recorded independently.
docmancer deliveryShow installed integrations, recall state, and recent use.
docmancer timelineShow how curated memory changed over time.
docmancer write ... --path file.mdWrite one deliberate Markdown memory file.
docmancer read Read one memory file with its provenance.
docmancer edit ... --expected-hash Safely edit a memory file.
docmancer move ... --expected-hash Safely rename or move a memory file.

| docmancer import ./notes | Copy arbitrary Markdown into the project inbox.

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

Pregunta a PopNx