Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Beschreibung vom Entwickler (englisches Original)
Omitly's local, verifiable PDF redaction for AI agents — your documents never leave your device.
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.
Du 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": {
"omitly": {
"command": "npx",
"args": [
"-y",
"omitly-mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add omitly -- npx -y omitly-mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"omitly": {
"command": "npx",
"args": [
"-y",
"omitly-mcp"
]
}
}
}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": {
"omitly": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"omitly-mcp"
]
}
}
}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 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto omitly 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 (5.3.0) kam vor 3 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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 exposes Omitly's local, verifiable PDF redaction to AI agents (Claude Code, Claude Desktop, and any other MCP client).
Repository scope and licence — please read before opening a PR.
This repository is source-available, not open source. See
LICENSE:
the code is published so you can read exactly what runs on your machine before
you let it touch a confidential document. It is not licensed for reuse in other
projects.
It contains the MCP server and the compiled wasm detection bundle. The Omitly
redaction engine, the tamper-evidence seal and the licensing implementation are
not in this repository and are developed privately; this code calls the
engine, it does not contain it.
Development happens in a private repository and is mirrored here on release, so
pull requests cannot be merged. Issues and security reports are very welcome
— see
SECURITY.md.
The point of difference: an agent can redact a document without uploading it anywhere. Redaction runs on-device through the Omitly engine and returns a signed audit log recording what was removed; the seal shows the delivered file is unchanged since it was sealed. It does not show that nothing else sensitive remains in the document — the opposite of pasting a confidential file into a chat model.
Five of the eleven tools (`find_sensitive_regions`, `locate_text`, `check_redaction`, `verify_redaction`, `extract_pdf_text`) work out of the box — `npm install`, no Rust toolchain, no native binary, no desktop app. They run on a wasm-bindgen build of the same detector that powers the web leak-checker at omitly.app, bundled directly in this package. create_pdf, the two write tools (redact_pdf, redact_by_entity), and the two seal-verification tools (verify_seal, verify_document) still need a configured native engine — see "Native engine" below. Neither seal tool has a wasm fallback yet: there is no wasm seal-verification path (tracked in issue #113), so both always require the native engine, even though checking a seal needs no licence.
Add the server to your MCP client with npx — nothing to clone, build or compile. Published releases ship the wasm detector bundled, so a registry install never needs Rust.
Claude Code:
claude mcp add omitly --env OMITLY_ALLOWED_DIR=/path/agents/may/touch -- npx -y omitly-mcp
Claude Desktop (claude_desktop_config.json), Cursor (~/.cursor/mcp.json) and Windsurf (~/.codeium/windsurf/mcp_config.json) take the same entry:
{
"mcpServers": { "omitly": { "command": "npx", "args": ["-y", "omitly-mcp"], "env": { "OMITLY_ALLOWED_DIR": "/path/agents/may/touch" } } } }
Set OMITLY_ALLOWED_DIR to the folder holding the documents you want checked; without it the server uses the directory it was launched from (see "Access control"). Claude Desktop users can instead install the one-click .mcpb bundle (see "One-click install for Claude Desktop" below).
Five tools work out of the box. find_sensitive_regions and check_redaction are free but EVALUATION-marked and limited to 10 attempts a month, shared across the two, without a native engine (OMITLY_FREE_CAP changes the number); locate_text, verify_redaction and extract_pdf_text are free with no cap. Redaction (redact_pdf, redact_by_entity), create_pdf and seal verification need the native engine, which is not currently distributed outside the source repo (omitly#1405).
The package ships a Claude skill at skill/SKILL.md: plain instructions that tell Claude when to reach for these tools and how to report results — masked values only, and what the free check does and does not prove.
Install it for Claude Code (user scope):
mkdir -p ~/.claude/skills/omitly-redaction
curl -fsSL https://raw.githubusercontent.com/omitly/omitly-mcp/main/skill/SKILL.md \ -o ~/.claude/skills/omitly-redaction/SKILL.md
A project can instead keep the skill under .claude/skills/omitly-redaction/. The skill is instructions only; limits and the free cap are enforced by the server, not by the skill.
| Tool | What it does |
|---|---|
find_sensitive_regions | Scans a PDF on-device and returns PII candidates — email/SSN/phone/card plus Australian identifiers (TFN, ABN, ACN, Medicare, Centrelink CRN, IHI, BSB; check-digit validated where a published algorithm exists) — with page + exact coordinates, so the agent selects by entity and never guesses geometry. Best-effort pattern matching, not a compliance assessment. Optional regions (generic/us/au) narrows the listed kinds. Free tier (wasm) is EVALUATION-marked and counts toward the shared 10-attempts-a-month cap (see "Licensing"); a configured native engine is not capped. |
locate_text | Resolves literal strings the model supplies (names, addresses — anything regex can't catch) to their page + coordinates. The model does the recognition; the engine does the geometry. |
check_redaction | Audits an ALREADY-redacted PDF and reports whether sensitive text still survives underneath the redaction marks, in prior incremental-update revisions, metadata, AcroForm fields, or attachments — the "did my black boxes actually remove the data?" check, with a coverage report scoping what was inspected. It also returns verdict — safe_to_send, needs_review (with blocking for a problem found) or cannot_verify — from the same presented-document check the desktop app's "Check any PDF" runs (native omitly-redact check or the bundled wasm check, one Rust function), with the fixed-copy result sections (what was checked, problems, review, what could not be checked). The full audit v2 report behind the verdict is not returned by this tool; it is available from the engine's check command. A verdict is about the check and what it covered (hidden, covered and recoverable content), never a statement that the document is safe. Free tier (wasm) is EVALUATION-marked and counts toward the shared 10-attempts-a-month cap (see "Licensing"); a configured native engine is not capped. |
extract_pdf_text | Extracts a PDF's full text, page by page, PII-MASKED BY DEFAULT so raw sensitive values never flood the model's context window. Each page's spans report the CHAR offset (not byte offset) and kind of every masked value, so an agent can still reason about position without seeing the raw value. masked: false is a documented, explicit opt-in to raw text. Free, no licence, works out of the box on the bundled wasm engine — a native engine is preferred when available (also enables the regions filter; wasm ignores it and scans every pattern). Never renders pages to images. |
redact_by_entity | One-shot: find + filter by kind (email/ssn/phone/card/tfn/abn/acn/medicare/crn/ihi/bsb) and/or regions + redact + verify. The "just scrub the obvious PII" shortcut. |
redact_pdf | Removes the underlying data from given regions of a PDF, verifies nothing survives, writes the redacted file, and returns the audit log. |
verify_redaction | Re-scans an already-redacted PDF and returns the verification verdict — the redaction-completeness check. |
verify_seal | Cryptographically checks a PDF's embedded Omitly audit report and whole-file tamper-evidence seal (seal v1: Ed25519; seal v2, from Omitly 4.0: ML-DSA-87 with ECDSA P-384) — the tamper-evidence check, distinct from verify_redaction. Integrity, not identity: the signing key rides inside the file (per-install from the desktop app, or one-time for a single output from the engine), so a valid seal means "unchanged since sealed by the holder of this key", never "produced by Omitly" — compare sealFingerprint out-of-band for origin. Requires a native engine; no wasm fallback exists. |
verify_document | Recipient trust-verification (omitly#113): the same seal/report check as verify_seal — not a survivor re-scan — aimed at someone who *received* a PDF from someone else and wants to confirm the file is unchanged since it was sealed (integrity, not identity — see verify_seal), without paying or licensing anything. Free, no licence. Currently requires a native engine like verify_seal (no wasm seal-verification path yet). |
create_pdf | Generates a clean PDF from Markdown/HTML on-device, rendered through a real browser engine so it looks printed — instead of writing a throwaway reportlab/LaTeX script. |
check_license | Reports the current licence or trial state — tier, trial days left, the vendor-signed licensee name, which resolution step supplied the licence, and whether it is bound to this machine. Free, takes no arguments, reads no document, and is re-resolved on every call so buy → save licence → call again works without a restart. Never returns the device fingerprint or the licence file's contents — device binding is a yes/no. Requires a native engine: the wasm free tier has no licence concept. |
propose_redactions | omitly#1643, bring your own AI: proposes regions for a PERSON to accept in the Omitly desktop app. Writes nothing. Requires the desktop app to be running on this computer; on acceptance the desktop removes, verifies and seals, and the record shows a person decided (human-desktop). |
get_proposal_status | Follows a queued proposal: pending, accepted, rejected, applied (with output path and verdict), failed or expired. Free; reads no document. |
While the Omitly desktop app is running on the same computer with Settings → Connect your AI → "Accept proposals in Omitly" on (the default), redact_pdf and redact_by_entity do not run: they return { status: "queued", proposalId } and the redaction becomes a proposal a person accepts or rejects in the app. On acceptance the desktop runs its own verified-removal engine, the survivor scan and the seal, and the sealed record says a person decided (human-desktop); this path needs no native engine on the agent's side. propose_redactions is the explicit form of the same thing; get_proposal_status follows the outcome; the person picks the output path in Omitly's own save dialog (outputPath is kept as the client's suggestion). Needs an omitly-mcp release that knows the channel — an older server writes directly. With no desktop running (or the toggle off), the write tools behave exactly as before and the record says mcp-agent (not human-reviewed). The two sides talk through files under the state directory (OMITLY_STATE_DIR, else ~/.omitly: desktop.json, proposals/, clients/) — no socket, no network. The PDF and the engine stay on this computer; text a client asks for (for example extract_pdf_text) goes to wherever that client's model runs.
create_pdf)create_pdf is served by a separate binary, omitly-pdf, kept apart from the redaction engine because generation is a different trust model from verifiable redaction. It renders Markdown (or raw HTML) through a headless Chromium-family browser (Chrome/Chromium/Edge/Brave; override with OMITLY_BROWSER_BIN) — the same engine family the Omitly app's webview uses, so output looks printed rather than script-generated. It needs the native omitly-pdf binary, which is not currently distributed (omitly#1405) and whose source is not in this repository; point OMITLY_PDF_BIN at a copy to enable this tool.
// stdin
{ "command": "create", "outputPath": "/abs/out.pdf", "source": "# Hello\n\nBody markdown", "format": "markdown", "title": "Hello" } // stdout { "ok": true, "output": "/abs/out.pdf" }
Typical agent flows:
find_sensitive_regions / locate_text → review → redact_pdf → verify_redaction*Nur der Anfang wird gezeigt; den Rest findest du im Repo