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

MCP Context Card

de Wolfe-Jamversión 1.7.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.Wolfe-Jam/mcp-context-card

Instalar

Resumen

Descripción del creador (original en inglés)

MCP server for a project's context (AGENTS.md), memory, and identity — base or drop-in extension.

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

  • npmNode.js instalado (para el comando npx)

¿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": {
    "context-card": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-context-card"
      ],
      "env": {
        "MCP_CONTEXT_CARD_ROOT": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add context-card --env MCP_CONTEXT_CARD_ROOT=your-value -- npx -y mcp-context-card

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "context-card": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-context-card"
      ],
      "env": {
        "MCP_CONTEXT_CARD_ROOT": "your-value"
      }
    }
  }
}

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": {
    "context-card": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-context-card"
      ],
      "env": {
        "MCP_CONTEXT_CARD_ROOT": "your-value"
      }
    }
  }
}

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.

Valores que debes completar

  • MCP_CONTEXT_CARD_ROOT env
    Pins the project: a directory with AGENTS.md, project.fafm and .well-known/fafa. Unset: the host's MCP roots, then the start directory if it has an AGENTS.md.

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 la cuenta de GitHub Wolfe-Jam, dueña del repo

  • … 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 7254 servidores de esta categoría
  • Publicado en el registro más recientemente que el 58% de los otros 7254 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7254 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 MCP Context Card?

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 (1.7.1) llegó al registro hace 26 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js 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 hoy
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 el mes pasado
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.

mcp-context-card

Get one. Or add it to yours. The essential MCP server for a project's context, memory, and identity — discoverable to any MCP client, and rendered as one card you can read.

LightDark

See your own project's business card — run this in its folder. It writes context-card.html and opens it in your browser. The front is the card: name, title, one-liner. Flip it for the back: About, Context, Memory, Discovery.

npx mcp-context-card card

context — the project's AGENTS.md, served whole or one section at a time.

memory — facts that persist across sessions, in a file.

identity — what this server is, from its own .fafa (agent.fafa, else .well-known/fafa).

Discovery goes through two surfaces already in the ecosystem: the Server Card _meta block and ai-catalog.json sibling entries.

Pick one

You want to…
Add an `AGENTS.md` — you don't have oneauthor_agents_md drafts one from your repo's real facts
Improve an `AGENTS.md` — you have one, make it the best it can bethe same tool, automatically — drop in a project.faf and it upgrades to BEST: goal, who it's for, why
Get a new MCP server base — context, memory, identity, wiredstand this up as-is; a host has all three before you write a tool of your own
Improve your MCP with context, memory, ID — you already run onerun it alongside your existing server; nothing to migrate, it composes

A base MCP — or an extension for any other

Context, memory, and identity are essential — every MCP host needs an agent that knows a project's instructions, remembers facts across sessions, and can say what it is. mcp-context-card is those three, done once:

  • Stand it up as your base MCP. Point a host at it and an agent already has AGENTS.md served section‑by‑section, remember / recall / forget memory that survives a restart, and a whoami identity — before a single tool of your own is written.
  • Or extend any existing MCP with it. Run it alongside a server you already have — filesystem, git, a database, your own — and that agent gains context, memory, and identity discovery it didn't have. Nothing to migrate; it composes.

Ten tools, two discovery surfaces already in the ecosystem (Server Card _meta, ai-catalog.json), and a rendered card. MIT, on npm.

It composes:

  • serve · discover · render — this server
  • author BETTER, keep true — agents-md-facts (author_agents_md wraps it for the facts layer; adds a BEST layer of its own from project.faf when one exists)
  • files · shell · git — server-filesystem, server-git / github‑mcp‑server, your test runner's MCP

Vendor-free — context is plain Markdown (AGENTS.md); the memory and identity formats are swappable examples. It reads and writes only its own three files (AGENTS.md, project.fafm, and agent.fafa or .well-known/fafa), plus the context-card.html it saves on request — no general file access, no shell, no search.

The card

The screenshot at the top of this page is exactly this: the same sources rendered as a business card in one self‑contained HTML page. The view for people: read it, screenshot it, drop it in a PR, put it on a status page.

  • Front: the name, a title (what it is and its version: "MCP server", "A2A agent", from where the project's .fafa says it runs) and a one-liner (the start of its description).
  • Back (Flip): tabs for About (the identity in full), Skills (when the .fafa lists capabilities), Context (AGENTS.md), Memory and Discovery. Long content scrolls inside the card.
  • Landscape or portrait: the ▭ ▯ button switches the view; --portrait / ?layout=portrait sets it.
  • Light or dark card: the card's colour is its own, like a printed card. --theme / ?theme= sets it (default: follow your OS), and ◐ switches it. The page around it always follows your OS.

Flip, tabs and the view switch are plain CSS, so they work with scripts off. The one small inline script adds Expand all, opens a #section link on the back, and opens every section for printing. Hosts that support MCP Apps read ui://mcp-context-card/card.html: this same page, plus a hidden inline view and the helper bundled in (scripts/bundle-card-app.mjs), so the host can fit its frame. Nothing is loaded from the network. The saved context-card.html, GET /card, and the CLI are the plain page, without that helper and without the inline view.

In a host, the inline view is a mini card for the panel: monogram, name, kind · version, one line, and a strip of counts (sections · facts · identity), with one action, "Open full card". It shows when the host's display mode is inline (or picture-in-picture). Fullscreen, and any page with no host, is the full card. "Open full card" asks the host for fullscreen; a host that stays smaller points to save_context_card, which writes the full card to context-card.html. --expanded / ?expand=all renders both faces flat, every section open, for a screenshot or print.

npx mcp-context-card card            # at a terminal: writes context-card.html and opens it

npx mcp-context-card card --portrait # the tall view npx mcp-context-card card --expanded # both faces flat, every section open npx mcp-context-card card > x.html # piped/redirected: raw HTML to stdout GET /card # live, on the HTTP transport GET /card?layout=portrait&theme=light&accent=%230066cc

In a chat, hosts that support MCP Apps show the card inline when render_context_card runs; the model gets a short summary instead of the page. Everywhere else, save_context_card writes context-card.html into the project, opens it in your browser when the server runs locally, and replies with the card as Markdown (identity, the AGENTS.md sections, memory, discovery), a link to the full card, and its address to copy. The Markdown is a tl;dr by default: five facts, each cut to its first sentence as stored, so it stays small however much a project remembers. detail: "full" lists every fact whole. The server's instructions tell the model to show that rather than paste the HTML into the chat.

Light, dark, or auto. The colour is the owner's: set it in the project's .fafa (metadata.cards.accent: "#0066cc"), or pass any hex with --accent or ?accent. With none, the card is drawn in ink, black or white; no colour is guessed. This repo's own card, live: auto · light · dark (in the AAIF orange its .fafa declares).

Add it to your setup

No AGENTS.md yet?

The author_agents_md tool authors one — BETTER from your repo's real facts (build/test commands, entry points, toolchain conventions, via agents-md-facts), or BEST when a project.faf exists: the same facts, plus its structured goal, who it's for, and why, as a section ahead of them. Nothing to configure — the tier follows what's actually there. (The ladder this follows.)

To author or keep the facts layer true outside a session:

npx agents-md-facts          # author / refresh AGENTS.md

npx agents-md-facts --check # fail if missing or stale (CI, pre-commit)

See the card

One command, no host, no config — from your project directory:

npx mcp-context-card card

At a terminal it writes context-card.html and opens it in your browser. Piped or redirected (> card.html, a script, CI) it writes raw HTML to stdout instead; --stdout forces that from a terminal too. --expanded opens every section.

Wire it into a host

goose, Claude Desktop, Cursor, or any stdio host:

{

"mcpServers": { "context-card": { "command": "npx", "args": ["-y", "mcp-context-card"] } } }

No path to configure: the server asks the host which project you're in (MCP roots — goose sends its session's working directory), then falls back to the directory it was started in if that has an AGENTS.md. list_context_sources reports which project it picked and how. To pin one project instead, set "env": { "MCP_CONTEXT_CARD_ROOT": "/abs/path/to/your/project" }; that always wins. Identity is optional. Over HTTP instead: PORT=8080 npx mcp-context-card. Requires Node ≥22.

HTTP mode is local by default, as the MCP transports spec asks: it binds 127.0.0.1, refuses foreign browser origins with 403, and refuses DNS names rebound to this machine. HOST=0.0.0.0 exposes it (a container or hosted deploy). There is no authentication or rate limiting, so put an exposed server behind your own. Memory is session data: an exposed server shows only its count on /card, and never serves or lists project.fafm, unless you set MCP_CONTEXT_CARD_PUBLISH_MEMORY=1. Details: docs/TRANSPORT.md.

In a host that shows MCP Apps (goose, for one), the card comes with the official MCP Apps helper, so it reports its size and fits its frame (about 700 KB, loaded by the host, not the model). For the plain card instead (about 30 KB, the host's default frame), set "env": { "MCP_CONTEXT_CARD_APP": "plain" }. Everywhere else the card is plain either way.

If command: "npx" fails to spawn (spawn npx ENOENT — seen on Cursor, whose host process doesn't inherit a shell PATH), point command at node and the installed dist/bin.js instead — see docs/WIRING.md. Transport choice is in docs/TRANSPORT.md.

Extending an MCP you already run: most hosts accept more than one mcpServers entry — add context-card alongside server-filesystem, server-git, or your own, and every agent in that host gains context, memory, and identity discovery without anything else changing.

Your identifiers

The AI Catalog names each entry urn:air:{domain}:{namespace}:{name}, and the domain is yours. It comes from your project's .fafa: run npx faf-cli card init (or --domain example.com), and it writes agent.id: urn:air:example.com:agent: . Your catalog then publishes urn:air:example.com:context: and so on, with no code to change. This repo's own .fafa says faf.one; that's our example, and yours says yours.

With no .fafa, no domain is invented: the served catalog uses the host it's served from (`l

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

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