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io.github.Lucid-Systems-LLC/lucid-apple-mcp

NPM · LUCID-APPLE-MCP · SCANNED SEP 20

On-device Apple Intelligence as MCP tools for macOS — OCR, tables, entity detection, generation.

Available components

npm · lucid-apple-mcp 74
0 this week 74 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security86
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Install-script check failed: the install command fetches or executes arbitrary code (inline_eval). An install hook runs on every machine, in CI, and on transitive installs, whether or not you ever run the server. View diagnostics → Fail
  • 31 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
  • Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
  • Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 92 days ago).Pass
  • Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability79
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 449 tokens (~64/item across 7 items; 7 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
  • Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the io.github.Lucid-Systems-LLC/lucid-apple-mcp server?

io.github.Lucid-Systems-LLC/lucid-apple-mcp runs locally as an npm package, launched with npx -y lucid-apple-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · lucid-apple-mcp

# add to Claude Code
claude mcp add lucid-systems-llc-lucid-apple-mcp -- npx -y lucid-apple-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "lucid-systems-llc-lucid-apple-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "lucid-apple-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "lucid-systems-llc-lucid-apple-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "lucid-apple-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add lucid-systems-llc-lucid-apple-mcp -- npx -y lucid-apple-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "lucid-systems-llc-lucid-apple-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "lucid-apple-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add lucid-systems-llc-lucid-apple-mcp --command npx --arg -y --arg lucid-apple-mcp
# ~/.hermes/config.yaml
mcp_servers:
  lucid-systems-llc-lucid-apple-mcp:
    command: "npx"
    args: ["-y", "lucid-apple-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "lucid-systems-llc-lucid-apple-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "lucid-apple-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add lucid-systems-llc-lucid-apple-mcp -t stdio -c npx -a -y lucid-apple-mcp
// mcp.json
{
  "mcpServers": {
    "lucid-systems-llc-lucid-apple-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "lucid-apple-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 19 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 17 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 16 Sept 26 +1
    • Stability: 0.97 → pass security
  • 14 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 9 Sept 26 +1
    • Stability: 0.97 → pass security
  • 7 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed npm/lucid-apple-mcp@0.3.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
postinstall dangerous node -e "const{spawnSync}=require('node:child_process');if(process.platform!=='darwin'){console.warn('[lucid-apple-mcp] non-macOS host - skipping Swift helper build (this server is macOS only).');process.exit(0)}const r=spawnSync('swiftc',['-parse-as-library','helper.swift','-o','helper'],{stdio:'inherit'});if(r.status!==0)console.warn('[lucid-apple-mcp] could not build helper - install Xcode Command Line Tools (xcode-select --install), then run: npm run build');process.exit(0)"

Background: Why install scripts are a supply-chain risk →

Dependencies 95 packages
Packages resolved 95
Stale 31
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 7 exposed · ~449 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
classify ~51

Classify text into EXACTLY ONE of a provided set of labels, on-device (offline).

NameTypeReqDescription
labelsarrayyesThe allowed labels (pick exactly one).
textstringyesThe text to classify.

No output schema declared.

No examples provided.

detect ~57

Detect dates, links, phone numbers, and addresses in text (NSDataDetector — fully offline + deterministic). Returns a JSON array of items. Pairs well with extract for grounding calendar/contact data.

NameTypeReqDescription
textstringyesThe text to scan.

No output schema declared.

No examples provided.

extract ~97

Extract STRUCTURED data from text with Apple's on-device model (offline) — returns JSON. Great for pulling an event, action items, or contact fields out of an email / note / message.

NameTypeReqDescription
textstringyesThe source text.
wantstring–What to extract, e.g. 'the meeting date, time, attendees, and location' or 'all action items'. Defaults to key fields/entities/dates/action-items.

No output schema declared.

No examples provided.

generate ~61

Ask Apple's on-device Intelligence model (offline). Good for quick answers, drafting, rewriting. Concise; not for deep reasoning.

NameTypeReqDescription
instructionsstring–Optional system-style guidance (tone, role, format).
promptstringyesThe prompt / question.

No output schema declared.

No examples provided.

ocr ~58

Extract text from an image or rendered PDF page using on-device Apple Vision OCR. Fully offline, ~0.2s.

NameTypeReqDescription
pathstringyesAbsolute path to an image (png/jpg/heic/tiff) or rendered PDF page.

No output schema declared.

No examples provided.

recognize_document ~91

STRUCTURED document OCR via Apple Vision (RecognizeDocumentsRequest, offline). Returns JSON {transcript, tables} and preserves TABLES as rows/cells + reading order — unlike `ocr`, which flattens layout. Use for tables, forms, receipts, and multi-column documents.

NameTypeReqDescription
pathstringyesAbsolute path to an image (png/jpg/heic/tiff) or rendered PDF page.

No output schema declared.

No examples provided.

summarize ~34

Summarize text concisely using Apple's on-device Intelligence model (offline).

NameTypeReqDescription
textstringyesThe text to summarize.

No output schema declared.

No examples provided.

Common questions

What is the io.github.Lucid-Systems-LLC/lucid-apple-mcp server?

io.github.Lucid-Systems-LLC/lucid-apple-mcp is listed in the public MCP registry as io.github.Lucid-Systems-LLC/lucid-apple-mcp. On-device Apple Intelligence as MCP tools for macOS, OCR, tables, entity detection, generation. This page covers its npm package (lucid-apple-mcp).

Is the io.github.Lucid-Systems-LLC/lucid-apple-mcp server safe to use?

io.github.Lucid-Systems-LLC/lucid-apple-mcp scores 74 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares an install script we flagged as high risk. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.Lucid-Systems-LLC/lucid-apple-mcp server expose?

io.github.Lucid-Systems-LLC/lucid-apple-mcp exposes 7 tools: ocr, generate, summarize, extract, classify, and 2 more. Their descriptions and schemas cost roughly 449 tokens of context every time the server is loaded.

Is the io.github.Lucid-Systems-LLC/lucid-apple-mcp server still maintained?

io.github.Lucid-Systems-LLC/lucid-apple-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.Lucid-Systems-LLC/lucid-apple-mcp server under?

io.github.Lucid-Systems-LLC/lucid-apple-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.