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AXF

de SmarterGPTversión 2.1.4i★ –iSe ejecuta en tu computadora
Nombre en el registrodev.smartergpt/axf

Instalar

Resumen

Descripción del creador (original en inglés)

Agent eXoskeleton Framework control plane for workspace-native agent capabilities over MCP.

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: Otros

Instalación

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

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: AXF_PROJECT_ROOT, AXF_EXECUTION_ROOT, AXF_WORKSPACE, AXF_REGISTRY_WORKSPACE, AXF_EXECUTION_WORKSPACE

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": {
    "axf": {
      "command": "npx",
      "args": [
        "-y",
        "@smartergpt/axf",
        "mcp"
      ],
      "env": {
        "AXF_PROJECT_ROOT": "your-value",
        "AXF_EXECUTION_ROOT": "your-value",
        "AXF_WORKSPACE": "your-value",
        "AXF_REGISTRY_WORKSPACE": "your-value",
        "AXF_EXECUTION_WORKSPACE": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add axf --env AXF_PROJECT_ROOT=your-value --env AXF_EXECUTION_ROOT=your-value --env AXF_WORKSPACE=your-value --env AXF_REGISTRY_WORKSPACE=your-value --env AXF_EXECUTION_WORKSPACE=your-value -- npx -y @smartergpt/axf mcp

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": {
    "axf": {
      "command": "npx",
      "args": [
        "-y",
        "@smartergpt/axf",
        "mcp"
      ],
      "env": {
        "AXF_PROJECT_ROOT": "your-value",
        "AXF_EXECUTION_ROOT": "your-value",
        "AXF_WORKSPACE": "your-value",
        "AXF_REGISTRY_WORKSPACE": "your-value",
        "AXF_EXECUTION_WORKSPACE": "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": {
    "axf": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@smartergpt/axf",
        "mcp"
      ],
      "env": {
        "AXF_PROJECT_ROOT": "your-value",
        "AXF_EXECUTION_ROOT": "your-value",
        "AXF_WORKSPACE": "your-value",
        "AXF_REGISTRY_WORKSPACE": "your-value",
        "AXF_EXECUTION_WORKSPACE": "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

  • AXF_PROJECT_ROOT env
    Canonical AXF project root for manifest and adapter discovery. Defaults to current working directory when no marker is found.
  • AXF_EXECUTION_ROOT env
    Canonical AXF execution root for runtime cwd and caller-facing execution. Defaults to current working directory.
  • AXF_WORKSPACE env
    Legacy alias that sets both the AXF project root and execution root.
  • AXF_REGISTRY_WORKSPACE env
    Legacy alias for AXF_PROJECT_ROOT.
  • AXF_EXECUTION_WORKSPACE env
    Legacy alias for AXF_EXECUTION_ROOT.

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 smartergpt.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 Otrosi

  • Más estrellas que el 0% de los otros 32688 servidores de esta categoría
  • Publicado en el registro más recientemente que el 68% de los otros 32688 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32688 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 AXF?

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 (2.1.4) llegó al registro hace 18 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: Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado anteayer
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.

AXF

Fit the repository once. Let every agent follow the same paved path.

An agent can read your code. It still has to rediscover how this repository wants to be built, tested, searched, diagnosed, and operated. The clues are usually scattered across scripts, package tasks, prose, CI, and human memory.

AXF (Agent eXoskeleton Framework) turns that repeated local ceremony into small, self-describing capabilities. Fit the exoskeleton deliberately once; later agents can discover the right route, inspect its contract, and run it without rebuilding the procedure from scratch.

recurring repository ceremony

↓ fit once inspectable AXF capabilities ↓ reuse agent discovers → inspects → runs

AXF is a traffic cop, not a replacement vocabulary. It preserves a provider's existing command family by default, then projects or normalizes only the parts that need a clearer agent-facing contract. The goal is not to automate judgment. It is to spend less judgment on reconstructing the same route.

The five caller concepts

You do not need the framework vocabulary to use a fitted repository:

  • Workspace — the repository context whose operating paths you need. In root-sensitive contracts, AXF distinguishes the project root used for discovery from the execution root used as the runtime working directory.
  • Module — a reusable capability pack, such as the built-in echo module or a repository-owned validation pack.
  • Capability — one named operation with declared arguments, output modes, side effects, lifecycle, policies, and an execution target.
  • Inspect — read the complete contract before execution.
  • Run — execute through that contract after checking its effects and authority requirements.

The smallest proof of life is:

npm install --global @smartergpt/axf

axf doctor axf list --compact axf inspect echo say axf run echo say --message hello

AXF 2.1.5 is published under Apache-2.0; earlier npm releases retain their published terms. Outside a fitted workspace, with no root override, this example discovers the bundled manifests in the installed package. doctor reports that project root separately from the current execution directory. An explicit AXF_PROJECT_ROOT overrides discovery; an empty directory without an axf.workspace.json marker has no capabilities. A fitted repository normally adds its own capabilities; echo.say only proves that the registry, resolver, adapter, and executor are connected.

Before and after fitting

Before AXF, a new agent searches multiple instruction files, reverse-engineers package scripts, guesses the safe validation subset, and repeats that work in the next session.

After a deliberate fit, the repository can expose stable entries such as context, check, and handoff. A caller starts with axf guide, inspects the selected capability, and runs the repository-owned route. AXF makes the route visible; the repository still owns it.

Is this repository a fit?

AXF helps when:

  • agents repeatedly guess which build, test, or validation command applies;
  • the same repository facts must be rediscovered before editing;
  • local safety rules live in scattered prose, convention, or human memory;
  • brittle shell chains keep being rebuilt for repo-specific chores.

AXF is probably not a fit when one obvious command already covers the work, the ceremony is unlikely to recur, or the provider surface changes faster than the team can maintain a capability contract.

The adoption question is:

Does this repository have repeated local operating ceremony that is worth

fitting once into stable, inspectable agent capabilities?

For a bounded, strictly read-only assessment, give an agent this prompt:

Evaluate whether this repository is a fit for AXF by following

docs/agent-evaluation.md. Do not install AXF, edit files, scaffold or promote capabilities, invoke MCP tools, or run repository code. Inspect only the existing scripts, package tasks, documentation, agent instructions, CI and platform/runtime constraints. Identify repeated mistakes and existing overlap, then return exactly one verdict: adopt, pilot, defer, or not a fit. Include the evidence, expected fitting cost, ongoing drift cost, authority boundaries, and the smallest reversible pilot. Do not perform the pilot without separate approval.

See Agent fit evaluation for the evidence checklist, verdict definitions, and response template.

Choose your path

You are...Start hereYour job
A caller or coding agentCaller guideDiscover, inspect, and run capabilities someone else fitted.
An integration authorIntegration author guideFit existing repository or provider ceremony into stable capabilities.
An AXF framework authorFramework author guideChange loaders, resolution, adapters, policy, MCP, or other AXF internals.

Stop at the caller guide unless you are responsible for fitting a provider or changing AXF itself. The complete audience map is in Documentation layers.

Status: alpha. The core loop is in place: scout, inspect, execute,

scaffold, and promote capabilities through one contract. Manifest version

axf/v0 is the current alpha contract.

What AXF is not

AXF is not a universal command catalog, a source of authorization, a replacement for provider identity, a substitute for review, or an MCP-only product. MCP is one agent-facing surface over the same registry and execution path.

Install and MCP

License

AXF is licensed under the Apache License, Version 2.0, including commercial and organizational use under its terms. Preserve the applicable notices. Earlier releases retain their applicable terms.

SmarterGPT was founded by Joseph Gustavson (Guffawaffle). See stewardship, contributing, and project identity. Code licensing does not grant runtime authority.

The npm package name is @smartergpt/axf. It installs two bins:

  • axf — the CLI entrypoint, including the stdio MCP launch subcommand axf mcp
  • axf-mcp — the stdio MCP server entrypoint

MCP clients may launch axf-mcp directly. For registry-driven or package-driven launch, prefer axf mcp so the package can stay centered on the base axf command surface. Both entrypoints start the same stdio MCP server. The server exposes exactly one MCP tool named axf, and that tool routes into AXF's existing capability surface for the bound workspace.

Global install
npm install --global @smartergpt/axf

Then use either bin directly:

axf doctor

axf mcp axf-mcp

Audit a Codex MCP package pin before assuming the configured server matches the installed CLI:

axf integrate codex --check

axf integrate codex --write axf integrate codex --check --smoke

Writes are scoped to the AXF package spec in Codex config.toml; restart or reopen Codex afterward. For one-call AXF + Lex bootstrap, including the explicit off | shadow KnowledgeFrame provider rollout, see the packaged templates/session-context workspace recipe and docs/13-repo-onboarding.md.

Repo-local dev launch

From a local clone, run the bins directly with Node:

node /path/to/axf/bin/axf.js doctor

node /path/to/axf/bin/axf.js mcp node /path/to/axf/bin/axf-mcp.js

A repo-local MCP configuration can either call the direct MCP bin or the CLI subcommand. Prefer the CLI subcommand when the client supports command arguments cleanly:

{

"mcpServers": { "axf": { "command": "node", "args": ["/path/to/axf/bin/axf.js", "mcp"], "cwd": "/path/to/project", "env": { "AXF_PROJECT_ROOT": "/path/to/project", "AXF_EXECUTION_ROOT": "/path/to/project" } } } }

Direct-bin configs remain valid:

{

"mcpServers": { "axf": { "command": "node", "args": ["/path/to/axf/bin/axf-mcp.js"], "cwd": "/path/to/project", "env": { "AXF_PROJECT_ROOT": "/path/to/project", "AXF_EXECUTION_ROOT": "/path/to/project" } } } }

npm / npx launch

Published-package smoke tests must run from a clean directory such as /tmp, not from the AXF repo root. Running from the repo root can let npx or npm exec pick up a repo-local or globally installed axf binary instead of the package-installed one.

The registry-friendly launch shape is axf mcp, but the direct MCP bin remains valid for manual configurations. These equivalent package-driven forms use the published npm package:

npx -y --package @smartergpt/axf axf doctor

npx -y --package @smartergpt/axf axf mcp npx -y --package @smartergpt/axf axf-mcp

npm exec --yes --package @smartergpt/axf -- axf doctor npm exec --yes --package @smartergpt/axf -- axf mcp npm exec --yes --package @smartergpt/axf -- axf-mcp

Windows-native launch

For registry-style Windows MCP configs, prefer the base axf.cmd launcher with mcp as an argument:

{

"mcpServers": { "axf": { "command": "axf.cmd", "args": ["mcp"], "cwd": "C:\\src\\my-project", "env": { "AXF_PROJECT_ROOT": "C:\\src\\my-project", "AXF_EXECUTION_ROOT": "C:\\src\\my-project" } } } }

Direct-bin .cmd configs are still valid:

{

"mcpServers": { "axf": { "command": "axf-mcp.cmd", "args": [], "cwd": "C:\\src\\my-project", "env": { "AXF_PROJECT_ROOT": "C:\\src\\my-project", "AXF_EXECUTION_ROOT": "C:\\src\\my-project" } } } }

WSL / Linux launch

For registry-style WSL/Linux MCP configs, prefer the base axf command with mcp as the first argument:

{

"mcpServers": { "axf": { "command": "axf", "args": ["mcp"], "cwd": "/home/user/src/my-project", "env": { "AXF_PROJECT_ROOT": "/home/user/src/my-project", "AXF_EXECUTION_ROOT": "/home/user/src/my-project" } } } }

Direct-bin configs remain valid:

{

"mcpServers": { "axf": { "command": "axf-mcp", "args": [], "cwd": "/home/user/src/my-project", "env": { "AXF_PROJECT_ROOT": "/home/user/src/my-project", "AXF_EXECUTION_ROOT": "/home/user/src/my-project" } } } }

WSL users should use a native WSL AXF install on PATH, not Windows npm shims or npm's _npx cache. Optional shared packs that launch native CLIs should follow the same rule: prefer Linux-native tools earlier on PATH and avoid crossing into Windows shims from WSL.

Root binding

axf, axf mcp, and axf-mcp resolve the active project root and execution root in this order:

  1. explicit --project-root and --execution-root
  2. AXF_PROJECT_ROOT and AXF_EXECUTION_ROOT
  3. legacy CLI aliases: --workspace, --registry-workspace, --execution-workspace
  4. legacy environment aliases: AXF_WORKSPACE, AXF_REGISTRY_WORKSPACE, AXF_EXECUTION_WORKSPACE
  5. nearest axf.workspace.json from cwd
  6. nearest axf.workspace.json from the installed script location
  7. cwd fallback

For axf run, unprefixed root flags are global only before the subcommand; after run they are capability-owned. Non-run commands retain their legacy placement because they have no downstream argument owner. The --axf-project-root, --axf-execution-root, and --axf-workspace spellings are accepted later in the AXF-controlled portion of a command. After an axf run ... -- boundary, root-like names belong to the capability.

Run argument ownership

AXF reserves the --axf-* namespace for framework controls and leaves natural public argument names to capabilities. Use an explicit boundary when the ownership should be visible in the command itself:

ax

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