Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Agent eXoskeleton Framework control plane for workspace-native agent capabilities over MCP.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
AXF_PROJECT_ROOT, AXF_EXECUTION_ROOT, AXF_WORKSPACE, AXF_REGISTRY_WORKSPACE, AXF_EXECUTION_WORKSPACEDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"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"
}
}
}
}Führe das in deinem Terminal aus
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 mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
AXF_PROJECT_ROOT envAXF_EXECUTION_ROOT envAXF_WORKSPACE envAXF_REGISTRY_WORKSPACE envAXF_EXECUTION_WORKSPACE envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde über die Domain smartergpt.dev bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (2.1.4) kam vor 18 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Draugr
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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:
axNur der Anfang wird gezeigt; den Rest findest du im Repo