Mac Control MCP vs Agent Device — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Mac Control MCP vs Agent Device
In-depth architectural comparison of the Mac Control MCP and Agent Device MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Mac Control MCP
OS Automation · Local stdio
Quality: 55/100 (Good) | Auth: No auth required
Agent Device
OS Automation · Local stdio
Quality: 52/100 (Good) | Auth: No auth required
Verdict Summary: Choose Mac Control MCP if you need specialized OS Automation tools running via a local process. Choose Agent Device if your workspace requires OS Automation integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Mac Control MCP when:
You need dedicated capabilities in the OS Automation domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You need dedicated capabilities in the OS Automation domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Cross-platform support for iOS, Android, tvOS, macOS, Linux, and web, Accessibility tree snapshots with token-efficient element references, UI actions including press, fill, scroll, wait, and alert handling.
Discovery router for the agent-device CLI. Exposes status, install guidance, version-matched help, prompts, and resources for iOS, Android, tvOS, macOS, and Linux automation workflows.
main display (or a rectangular region within it) to a PNG file, returns the file path + width/height. Simple, synchronous, no size limits applied.
capture_screen_v2
main display only, but stores the PNG as a content-addressed artifact under `~/.mac-control-mcp/artifacts/<sha256>.png` and returns `{content_ref, bytes, sha256}`. Defaults to `inline=false` and downscales to `max_dimension`/`max_bytes` (4000px / 4MB by default) specifically to avoid blowing up an…
capture_window
screenshots one specific window by PID (optionally filtered by `title_contains`), not the whole display.
capture_display
screenshots one specific physical display by its index from `list_displays`, for multi-monitor setups.
list_elements
lists actionable elements for a PID (a flat, practical "what can I click" view).
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Mac Control MCP is categorized under OS Automation and uses a local stdio subprocess. In contrast, Agent Device belongs to OS Automation using local stdio subprocess. Select Mac Control MCP when you need capabilities focused on os automation and Agent Device when you require tools for os automation.
returns the *first* element matching a role/title filter for a PID.
find_elements
same matching as `find_element`, but returns *all* matches, not just the first.
query_elements
regex search over role/title/value (falls back to case-insensitive substring on invalid regex); use when a plain role/title filter isn't precise enough.
get_ui_tree
walks the *full* accessibility tree of a process, including containers, and assigns stable element IDs for follow-up calls. Heavier than `list_elements`/`find_element(s)`, but the only one that gives you structure/hierarchy.
ax_tree_augmented
like `get_ui_tree`, but does one OCR pass and geometrically joins OCR-derived labels onto AX nodes that have no native label. Use it specifically for Electron/Chromium/Canvas apps where the native AX tree is sparse and unlabeled; it's the expensive option (an OCR pass), so reach for `get_ui_tree` f…
Agent Device Tools (5)
Cross-platform support for iOS, Android, tvOS, macOS, Linux, and web
Accessibility tree snapshots with token-efficient element references
UI actions including press, fill, scroll, wait, and alert handling
Evidence capture: screenshots, video, logs, traces, and network data
Replayable workflows with script export and integration with agent terminals