Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Local macOS 27 desktop automation through MCP on Apple silicon.
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.
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Die .mcpb-Datei des Entwicklers herunterladen
Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.
Führe das in deinem Terminal aus
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.
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.
Diese 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 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto deploymenttheory bestätigt, dem das Repo 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 (0.2.1) kam vor 28 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du MCPB auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Zoo MCP
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.
An MCP server that provides access to the Zoo API for various CAD operations and tools.
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.
A Model Context Protocol server that bridges AI agents to the macOS desktop: the accessibility tree, synthetic mouse and keyboard input, screenshots, window and application control, the shell, preferences, launchd, processes, the filesystem and web scraping. No computer-vision model is required: the agent perceives the UI through the accessibility tree, the way assistive technology does.
It is the macOS counterpart of windows-mcp-server: the same 35 tools, toolsets, personas, policy documents and journeys. What separates both from a plain automation bridge is that every agent action is gated on live device posture, the agent's network egress is constrained, and both are recorded in a tamper-evident audit chain the agent cannot switch off.
**Several tools (Shell, LaunchExecutable, Defaults, LaunchdJob, FileSystem,
Process, App) have full user-level system access with no sandboxing.** That
is the design. Run untrusted workloads in a guest, see
VM isolation, and read SECURITY.md
for what is and is not in scope as a vulnerability.
Requires macOS 27 or later on Apple silicon. Apple does not support Intel Macs on macOS 27.
brew install deploymenttheory/tap/macos-mcp-server
macos-mcp-server permissions request # grant Accessibility and Screen Recording once SERVER="$(command -v macos-mcp-server)" codex mcp add macos -- "$SERVER" stdio --persona business-user
claude mcp add --scope user macos -- "$SERVER" stdio --persona business-user
For Claude Desktop, install the .mcpb from the latest GitHub release under Settings > Extensions > Advanced settings > Install Extension. It contains the signed server binary and requests the required macOS grants on first launch.
Any other local MCP client can launch the binary with the stdio subcommand:
{
"mcpServers": { "macos": { "command": "/absolute/path/from/command-v/macos-mcp-server", "args": ["stdio", "--persona", "first-line-support"] } } }
→ [Getting started](docs/getting-started.md) covers Claude Code, Cursor, Codex CLI and Claude Desktop, and what to do before pointing this at a machine you care about. → [Permissions](docs/permissions.md) explains the privacy grants and why the signing identity matters.
Not sure this is for you? If you have to approve it on a fleet, read Deciding to deploy this. If you have a job to do, see the walk-throughs for a UI regression suite or a first-line support queue.
| What it does | Guide | |
|---|---|---|
| Desktop automation | 35 tools across 13 toolsets: accessibility-tree perception, AX actions, synthetic input, screenshots, apps, windows, the shell, preferences, the filesystem, processes, launchd, the unified log, network, packages, scraping, plan-and-apply | Toolsets and personas |
| Personas | Presets that select toolsets *and* inject workflow guidance | Toolsets and personas |
| Credentials | The agent signs in to apps and sites without ever being told the secret: the Credentials tool has no read mode, injection requires a secure text field, and the keychain items are removed on every exit path | Credentials |
| Session recording | With transparency.recording_dir set, the whole session goes to one .mov with timeline markers | Session recording |
| Journeys | Declarative UI journeys validated offline, run through the planner, recorded from a human session | Journeys |
| Kill switch | Out-of-band, tiered containment: isolate (pf), kill processes, lock, shut down, with the recording finalised and the credentials revoked first | Security architecture |
| MCP conformance | Implemented protocol behavior checked against the latest published spec on every PR | MCP compliance |
| Toolset | Default | Tools |
|---|---|---|
| screen | yes | Snapshot, Screenshot, DisplayInventory, Recording |
| interaction | yes | Click, Type, Invoke, GetText, Scroll, Move, Shortcut, Wait, WaitFor, MultiSelect, MultiEdit |
| apps | yes | App |
| system | yes | Clipboard, Process, Notification |
| system-admin | Defaults, LaunchdJob | |
| shell | Shell, LaunchExecutable | |
| filesystem | FileSystem | |
| web | Scrape | |
| diagnostics | SystemInfo, Service, UnifiedLog, Network | |
| packages | Package | |
| credentials | Credentials (enabled by --credentials-file) | |
| testing | Assert, CaptureEvidence | |
| planning | Plan, Apply | |
| always | GuardrailStatus, Kill |
Four names differ from the Windows server because they name a different subsystem: Defaults (Registry), Shell (PowerShell), LaunchdJob (ScheduledTask) and UnifiedLog (EventLog). Everything else, including the journey vocabulary, is identical.
Resources: macos://desktop/snapshot, macos://desktop/displays, macos://session/recording, macos://system/info. Prompts: rpa-journey, triage-support-issue, capture-evidence.
macos-mcp-server personas # first-line-support, qa-test-engineer, business-user
macos-mcp-server stdio --persona qa-test-engineer macos-mcp-server stdio --toolsets screen,interaction,apps --read-only
The login window, the lock screen, Touch ID and password sheets, TCC consent dialogs, and the contents of secure text fields. These are the system's own trust boundaries; the server does not try to cross them.
📐 Security architecture ·
📄 Policy configuration ·
🔎 Security assessment
A policy engine sits between the MCP client and the tools:
MCP client ──▶ audit ──▶ rug-pull ──▶ policy engine ──▶ tool handler
│ device signals
macos-mcp-server stdio --policy-config "/Library/Application Support/MacOSMCP/policy.json"
With no `--policy-config` the built-in default applies: the engine is present, every declared signal is evaluated and every verdict recorded, and nothing is refused. Adopting the engine cannot break a working deployment before its policy is written.
on_fail | Effect |
|---|---|
allow | Proceeds; the failure is still recorded |
warn | Proceeds, and the warning rides back with the result so the model sees it |
hold | The call waits on an out-of-band human authoriser and fails closed |
deny | This call is refused, and re-evaluated next time |
kill | The kill switch trips and the containment ladder runs |
macos-mcp-server policy validate --policy-config policy.json # document + signal ids; exit 1
macos-mcp-server policy check --policy-config policy.json # this device now; exit 2 if not admitted macos-mcp-server policy explain --policy-config policy.json --tool Shell macos-mcp-server policy test policy/examples/tests/*.json # fixtures, in CI macos-mcp-server audit verify "/Library/Application Support/MacOSMCP/audit" macos-mcp-server evidence bundle --dir ... --session 20261007-120000
Seven starting points ship in policy/examples/: audit.json (adopt first, refuses nothing), secure.json, enterprise.json, locked-down.json, egress.json, dual-control.json and evidence-export.json.
The local device signals are auditable defence-in-depth, not a hard boundary: root can spoof them, and privacy grants are keyed on the signing identity rather than on a hash of the binary. The containment layers raise the cost of, and record, in-session compromise; pair them with MDM, Gatekeeper and notarization, Platform SSO and Conditional Access, and FileVault. Two macOS specifics are worth knowing before trusting a posture: pf filters by socket owner, so the "scoped" egress tier bounds the console user rather than named applications, and the posture signals are Windows-named with a documented macOS reading. Both are spelled out in the assessment.
Every PR runs the required MCP spec gate against the latest published MCP revision. It captures the product's actual advertised surface and raw wire responses, checks the definitions and safe method calls against the published schema, and fails if a newer revision needs assessment. The check covers the features this server implements, without assigning a percentage for optional features it does not implement. See MCP spec gate.
cmd/macos-mcp-server cobra/viper CLI (stdio transport; conformance-serve only behind a tag)
internal/macmcp RunStdio orchestration, probes, credentials, permissions, policy ops internal/macdesktop the engine: accessibility tree, CGEvent input, ScreenCaptureKit screenshots, screencapture recording, keychain, launchd, log, network internal/macguard pf egress enforcer, networksetup system proxy, containment actuator internal/clirunner argv-only process runner with a rebuilt environment internal/acceptance the tart-lab acceptance suite (MACOS_MCP_ACC=1) pkg/macos tool definitions, toolsets, personas, resources, prompts mcp-server-core (imported) inventory, toolkit, surface, guardrail runtime, journeys, schema loader, conformance fixtures and host agentweave-harness (imported) policy engine, audit chain, rug-pull, kill switch, egress proxy policy/examples starting-point policy documents, with fixtures under tests/ schema/ vendored MCP protocol schemas, one directory per revision
All accessibility, event and AppKit work runs on the process main thread through Desktop.Do; tool handlers receive their dependencies from the request context via receiving middleware.
make check # vet, test, lint
make sign-dev # a stable local signing identity so TCC grants survive rebuilds make conformance # validate the implemented product behavior make release-snapshot # goreleaser dry run, unsigned
Releases are cut by release-please and built by release.yml: one arm64 binary, Developer ID signed and not
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