World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
Local macOS 27 desktop automation through MCP on Apple silicon.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
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Works with Claude, with some setup first
No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
Download the maker’s .mcpb file
The .mcpb file comes straight from the maker; we do not change it
Use macOS MCP Server and tell me what you can do for me, then show me one thing✓ If Claude says it is using macOS MCP Server or shows a macOS MCP Server tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect macOS MCP Server yet
macOS MCP Server runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect macOS MCP Server
B · Others in Other that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Claude Code cannot connect macOS MCP Server yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect macOS MCP Server
Cursor cannot connect macOS MCP Server yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect macOS MCP Server
VS Code cannot connect macOS MCP Server yet
The maker only provides an installer for the Claude desktop app
A · Use an app that can connect macOS MCP Server
mcpb: …/macos-mcp-server_0.2.1_darwin_arm64.mcpbBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026
The registry name was verified with the GitHub account deploymenttheory, which owns the repo
Code last changed yesterday
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed yesterday, and the latest version (0.2.1) reached the registry 34 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: World Monitor, Claude Flow, Windmill
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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