Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Agent eXoskeleton Framework control plane for workspace-native agent capabilities over MCP.
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.
AXF_PROJECT_ROOT, AXF_EXECUTION_ROOT, AXF_WORKSPACE, AXF_REGISTRY_WORKSPACE, AXF_EXECUTION_WORKSPACENecesitas
¿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 mcpCompleta los valores vacíos antes de ejecutarlo.
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.
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.
AXF_PROJECT_ROOT envAXF_EXECUTION_ROOT envAXF_WORKSPACE envAXF_REGISTRY_WORKSPACE envAXF_EXECUTION_WORKSPACE envEsta 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 el dominio smartergpt.dev (el registro comprueba quién es dueño del dominio)
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 (2.1.4) llegó al registro hace 18 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Live in-stock Hetian jade from Yufu, Shanghai: prices, monthly price guide, book a viewing.
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.
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.
You do not need the framework vocabulary to use a fitted repository:
echo module or a repository-owned validation pack.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 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.
AXF helps when:
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.
| You are... | Start here | Your job |
|---|---|---|
| A caller or coding agent | Caller guide | Discover, inspect, and run capabilities someone else fitted. |
| An integration author | Integration author guide | Fit existing repository or provider ceremony into stable capabilities. |
| An AXF framework author | Framework author guide | Change 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/v0is the current alpha contract.
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.
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 mcpaxf-mcp — the stdio MCP server entrypointMCP 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.
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.
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" } } } }
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
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" } } } }
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.
axf, axf mcp, and axf-mcp resolve the active project root and execution root in this order:
--project-root and --execution-rootAXF_PROJECT_ROOT and AXF_EXECUTION_ROOT--workspace, --registry-workspace, --execution-workspaceAXF_WORKSPACE, AXF_REGISTRY_WORKSPACE, AXF_EXECUTION_WORKSPACEaxf.workspace.json from cwdaxf.workspace.json from the installed script locationcwd fallbackFor 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.
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:
axSolo se muestra el principio; lee el resto en el repo