Prototyp · Vorschau: alle Server aus der offiziellen Registry, alle 30 Minuten synchronisiert. Bewertungen und Benutzerkonten folgen in einem späteren Schritt.
PopNx MCPMCP-Server für alle, die KI nutzen · in einfachen Worten erklärt

FocusRelay

von devermanVersion 0.10.0-betai★ –i–
Name in der Registryio.github.deverman/focusrelay

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

Connect AI tools to OmniFocus on macOS to find, review, and safely update tasks and projects.

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: –
  • Transport:
  • Kategorie: Sonstiges

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 1 von 1 bestanden
  • Läuft auf deinem Computer mit den Rechten deines Benutzerkontos (Dateien, Netzwerk, Apps).
  • Die Registry nennt keinen Schlüssel zum Eintragen.

Der Entwickler hat in der Registry keine Installationsangaben gemacht. Sieh dir unten die README des Entwicklers an.

Was er kann

Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.

Basischecksi

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

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto deverman bestätigt, dem das Repo gehört

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • – Nicht zutreffend

    Endpunkt antwortet

    Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen

  • … Noch nicht geprüft

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen

Im Vergleich mit anderen in Sonstigesi

  • Mehr Sterne als 0 % der anderen 32476 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 17 % der anderen 32476 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 32476 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist FocusRelay sicher?

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.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

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).

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.10.0-beta) kam vor 4 Monaten in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code.

Was kann ich stattdessen nutzen?

In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, zanadir

Alternativen

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

Spec Driven Development

von formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Läuft auf deinem Computer★ 440MITAktualisiert vor 14 Monaten
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Remote Desktop Commander

von desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Läuft in der Cloud★ 211Aktualisiert gestern
Installieren

zanadir

von MustacheCase

Find what a repository's CI is missing, and which security checks cannot fail the build.

Läuft auf deinem ComputerAktualisiert heute
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README vom Entwickler

README öffnen

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.

FocusRelay — Fast Swift OmniFocus MCP Server and CLI for macOS

Plan your day and keep OmniFocus up to date with AI

FocusRelay is a fast, native Swift MCP server and CLI that helps AI assistants read and safely update OmniFocus using documented OmniFocus APIs.

Install with Homebrew · See what it can do · Star FocusRelay · Contribute

Ask about the work already in OmniFocus, review the answer, and make approved changes without clicking through long task lists.

Ask. Review. Update.

FocusRelay is designed for targeted questions and compact answers, so the assistant does not need your entire OmniFocus database for routine requests.

Try prompts like:

  • “Help me process my OmniFocus inbox in a small batch.”
  • “How many flagged items do I have?”
  • “Show me the first three available tasks in my inbox.”
  • “Find my task called [task name], flag it, and verify the change.”
  • “Set [task name] due tomorrow at 5 PM in my local timezone and verify the change.”

In clients that expose MCP server prompts, select process_inbox. In OpenCode, run /focusrelay:process_inbox to start the guided workflow. CLI-based agents can retrieve the exact same instructions with focusrelay workflow get process_inbox; use focusrelay workflow list to discover available workflows without loading their full text.

These workflows were tested with multiple MCP-capable models in OpenCode. Updates target stable OmniFocus IDs and can verify the saved result. If names are duplicated, ask to see the candidates before changing anything.

The current release can:

  • guide supported MCP clients and CLI-based agents through a bounded, approval-first inbox workflow;
  • find and count tasks using dates, flags, tags, projects, availability, inbox state, completion, estimates, and text search;
  • review projects, folders, tags, task counts, and stalled work;
  • update names, notes, flags, dates, estimates, tags, project settings, and review intervals;
  • mark active and on-hold projects reviewed using OmniFocus's native review timestamp and next-review semantics;
  • drop, restore, complete, reactivate, and move existing tasks;
  • complete, reactivate, change status, and move existing projects;
  • preview a proposed change and verify the saved result.

The current release updates existing tasks and projects. Creating or deleting items is not supported; creation is tracked in #82 and #83.

Why FocusRelay?

On the development branch, Forecast questions support an explicit partial task-only scope. It includes past/today scheduled actions, flags, and the configured Forecast tag; it is not the native Forecast total and excludes calendar events and native visibility preferences. This requires the matching development binary and bridge, not the current Homebrew release.

Keep the assistant focused

The development candidate exposes ten model-facing tools: seven read tools plus edit_tasks, edit_projects, and add_tasks for supported changes. Task and subtask creation uses client-managed approval, optional preview, frozen date-only values, and mandatory verification. Omitted previewOnly performs a write; uncertain creation must not be automatically retried. See the creation contract. Earlier consolidation from seven editing tools to two reduced the catalog from 14 tools to 9 and cut context usage by 7–13% in controlled model tests. Those historical measurements do not measure the new creation tool's overhead. Internal diagnostics stay in the CLI, count commands avoid returning long item lists, and field selection keeps responses compact.

Native Swift speed at real-library scale

FocusRelay is compiled as native Swift and installed with Homebrew, with no Node.js or Python runtime in the request path. Single-pass filtering and early-stop pagination keep focused inbox reads near one second in testing at thousands-of-tasks scale. The same core powers a CLI for precise, low-context queries.

Run where OmniFocus understands its data

The Swift server dispatches work to a lightweight bridge plug-in that runs inside OmniFocus’s Omni Automation context. It uses documented APIs and native statuses, keeping results aligned with OmniFocus without reading its private database.

Make changes you can check

Edit tools target stable IDs and support previews, per-item results, compact return fields, and optional verification. A failed save, update, or verification is reported as a failure—not success.

FocusRelay handles OmniFocus work in order, tells assistants to wait for each update, and reports overload clearly instead of letting requests collide. When an MCP client disconnects, its FocusRelay process exits cleanly rather than remaining in the background.

See the latest release notes for the user-facing changes and upgrade requirements.

Privacy and security

FocusRelay runs locally on your Mac. Its Swift server communicates on-device with a bridge plug-in that accesses OmniFocus through documented APIs. FocusRelay has no hosted cloud service and does not send your OmniFocus data to a FocusRelay-operated service.

Your MCP client and chosen AI model may transmit tool inputs and results under their own privacy terms. Review those settings before using FocusRelay with sensitive data.

Install the OmniFocus MCP server with Homebrew

Requirements:

  • macOS 26 or later on Apple silicon;
  • OmniFocus 4;
  • Homebrew;
  • an MCP-compatible assistant or a shell-capable AI agent.
1. Install and trust the formula

Homebrew 6 requires explicit trust for formulae from non-official taps. Trust only the FocusRelay formula, then install it:

brew tap deverman/focus-relay

brew trust --formula deverman/focus-relay/focusrelay brew install focusrelay

Formula-specific trust authorizes FocusRelay without trusting every current or future formula in the tap. See Homebrew’s Tap Trust documentation for details.

2. Run guided setup

Run the installed setup command:

focusrelay setup

It finds the Homebrew-bundled plug-in, verifies that its version matches the binary, detects every supported OmniFocus plug-in folder, and previews the source and destinations before asking permission to copy anything. Existing plug-ins remain in place until their replacement has been copied successfully. Rerunning setup reports copies that are already current.

Setup also prints the client-neutral MCP command and arguments. Add --client claude-code, --client codex, or --client opencode for a known client example; FocusRelay prints the configuration but does not edit it.

For automation, review the same plan first and then opt in explicitly:

focusrelay setup --dry-run

focusrelay setup --non-interactive

Building from source? Continue using ./scripts/install-plugin.sh; it is a thin development entry point for this same Swift setup implementation.

3. Restart OmniFocus

Quit OmniFocus completely and reopen it so the updated plugin is loaded:

osascript -e 'tell application "OmniFocus" to quit'

sleep 2 open -a "OmniFocus"

4. Check readiness and add FocusRelay to your AI assistant

FocusRelay currently supports terminal-based MCP clients: Claude Code, OpenCode, Codex CLI, and other clients launched from a terminal. Desktop applications such as Claude Desktop and ChatGPT's desktop app are not yet supported: macOS restricts their access to the OmniFocus data FocusRelay relies on. Desktop-app support is tracked in #196.

Configure a local stdio MCP server with:

  • command: /opt/homebrew/bin/focusrelay
  • arguments: serve

Claude Code configuration

Claude Code registers MCP servers from the command line, so no file editing is required:

claude mcp add --scope user focusrelay -- /opt/homebrew/bin/focusrelay serve

--scope user makes FocusRelay available in every project on your Mac. Use --scope project instead to share the server with collaborators through a checked-in .mcp.json, or omit the flag to enable it only in the current directory.

Confirm the server is registered and reachable:

claude mcp list

FocusRelay should report ✔ Connected. Remove it later with claude mcp remove --scope user focusrelay.

OpenCode configuration example

{

"mcp": { "focusrelay": { "type": "local", "command": ["/opt/homebrew/bin/focusrelay", "serve"], "enabled": true } } }

On the first query, OmniFocus asks whether to allow the automation. Choose Run Script. If the prompt is hidden, bring OmniFocus to the front.

After restarting OmniFocus, verify that its loaded plug-in matches the binary:

focusrelay setup --check-readiness

focusrelay list-tasks --fields id,name --limit 1

Then ask:

How many flagged items do I have in OmniFocus?

Manual download or source build

Download the latest binary and FocusRelayBridge.omnijs from GitHub Releases, or build on macOS 26 or later with the Swift 6.3.3 toolchain selected by the checked-in .swift-version:

git clone https://github.com/deverman/FocusRelayMCP.git

cd FocusRelayMCP swift build -c release ./scripts/install-plugin.sh

After installing the plugin, restart OmniFocus completely and run focusrelay setup --check-readiness.

Use FocusRelay as an OmniFocus MCP server or CLI

MCP lets compatible assistants discover FocusRelay and choose the right action. The CLI is useful for scripts, debugging, and agents that already have shell access.

The examples below target the current Homebrew release and source build.

# Discover or retrieve the same workflows exposed as MCP prompts

focusrelay workflow list focusrelay workflow get process_inbox

Count without returning every matching task

focusrelay task-counts --flagged true

Return only three task names

focusrelay list-tasks \ --inbox-only true \ --available-only true \ --limit 3 \ --fields name

Preview a change without touching OmniFocus

focusrelay edit-tasks \ --operation update \ --flagged true \ --preview-only \ --return-fields id,name,flagged

Run focusrelay --help for the command list. For write examples and safety rules, see Safe Update Workflows for CLI and MCP.

Compare FocusRelay with other OmniFocus MCP servers

FocusRelay combines a native Swift server with a bridge plug-in that executes inside OmniFocus. Swift keeps MCP fast and compact; the bridge gets fresh data and applies changes through documented OmniFocus APIs.

✅ Available · 🟡 Coming next · 🟠 Backlog · ◇ Project roadmap · — Not currently documented

CapabilityFocusRelayOmniFocus-MCPEnhancedOmnifocusMCPOperator
RuntimeNative Swift · HomebrewTypeScript · npxTypeScript · npxNative Rust · Homebrew; Python and TypeScript availablePython · uvx

| OmniFocus access | Bridge plug-in inside Omni Automation; documented APIs | JXA and Omni Automation through osascript | Omni Automation through osascript | Omni Automation through osascript | Internal SQLite r

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