io.github.jeet0007/mac-voice-mcp
NPM · MAC-VOICE-MCP · SCANNED SEP 30
Talk with your AI assistant out loud on a Mac, with on-device speech recognition (whisper.cpp).
Available components
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 Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to jeet0007/mac-voice-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 0 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability77
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1231 tokens (~615/item across 2 items; 2 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 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 2 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 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
How do I install the io.github.jeet0007/mac-voice-mcp server?
io.github.jeet0007/mac-voice-mcp runs locally as an npm package, launched with npx -y mac-voice-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 · mac-voice-mcp
claude mcp add jeet0007-mac-voice-mcp -- npx -y mac-voice-mcp
{
"mcpServers": {
"jeet0007-mac-voice-mcp": {
"command": "npx",
"args": [
"-y",
"mac-voice-mcp"
]
}
}
} {
"servers": {
"jeet0007-mac-voice-mcp": {
"command": "npx",
"args": [
"-y",
"mac-voice-mcp"
]
}
}
} codex mcp add jeet0007-mac-voice-mcp -- npx -y mac-voice-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"jeet0007-mac-voice-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"mac-voice-mcp"
],
"enabled": true
}
}
} openclaw mcp add jeet0007-mac-voice-mcp --command npx --arg -y --arg mac-voice-mcp
mcp_servers:
jeet0007-mac-voice-mcp:
command: "npx"
args: ["-y", "mac-voice-mcp"] {
"McpServers": {
"jeet0007-mac-voice-mcp": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"mac-voice-mcp"
]
}
}
} assistant mcp add jeet0007-mac-voice-mcp -t stdio -c npx -a -y mac-voice-mcp
{
"mcpServers": {
"jeet0007-mac-voice-mcp": {
"command": "npx",
"args": [
"-y",
"mac-voice-mcp"
]
}
}
} 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.
- 30 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 29 Sept 26 0
- Malware scan: unverified → pass ▲ security
- Package version: 0.3.0 → 0.3.1 functional
- 28 Sept 26 −12
- Malware scan: pass → unverified ▼ security
- Known CVEs: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Schema quality: 554 → 615 ▼ functional
- Capabilities: pass → unverified ▼ functional
- Dependency health: 0.85 → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: 100 → unverified ▼ functional
- Stability: unverified → 0.17 ▲ functional
- Package version: 0.1.1 → 0.3.0 functional
- Package version: 0.1.1 → 0.2.0 functional
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 23 Sept 26 81
First indexed and scored.
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 30 Sept 2026 · Analysed npm/mac-voice-mcp@0.3.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | jeet0007/mac-voice-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/jeet0007/mac-voice-mcp/.github/workflows/publish.yml@refs/tags/v0.3.1 |
| Rekor log index | 2996190776 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:78193bb7233d631fbc47efe5302af869da5e1da1b74f4027c35a1080a5d3b448a3ead5b982ea3ddb4bb416ff8bc248452af38231a7f676ac312944aa9 |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
speak_and_listen Speak and listen ~579
Say something out loud to the user and hear their spoken reply. Speaks text_to_speak through the computer's speakers, then listens like a conversation turn — it waits for the user to start talking and stops when they finish — and returns an on-device transcript of what they said. Write text_to_speak for the ear, not the screen: - 1–3 short sentences, under ~40 words; lead with the outcome, then one question. - Plain words only: no markdown, bullets, emoji, code, file paths, URLs, stack traces or tables. - Describe code instead of reading it ("I added a retry to the upload function"), say file names not paths ("in index.ts"), round numbers ("about two hundred ms"), spell out symbols. - Ask one question at a time, answerable in a few words ("Should I deploy it — yes or no?"). - Put the details (diffs, logs, links) in your normal on-screen reply, and say so out loud. - Tool output (Bash stdout, file writes) is NOT the on-screen reply. Only your own assistant message text renders. - A spoken turn with no assistant message text shows the user nothing — never skip the on-screen reply. Good: "The build passed and all tests are green. Want me to open the pull request?" Bad: "## Results\n- `npm test` ✅ 42/42\n- see /Users/x/repo/src/index.ts:120" Once the user is talking with you by voice, keep the conversation in voice: answer each transcript with another speak_and_listen call (not a text reply) until they say stop or start typing. To end voice mode, or for a one-way announcement, pass listen: false: it speaks without opening the mic. A reply of "(No speech detected …)" means the user did not answer — never treat it as consent. Ask once more; if still nothing, stop and say on screen that voice mode is paused and they can type to carry on (not speak: the mic is off). The "voice-mcp timing" line at the end is diagnostics: ignore it unless the user asks why things feel slow. If it reports that voice-mcp is not set up, call voice_setup.
| Name | Type | Req | Description |
|---|---|---|---|
| listen | boolean | – | Default true. false: only speak, without opening the microphone — for a one-way announcement, or to say goodbye when the user ends voice mode. |
| listen_seconds | number | – | Upper limit on how long to listen, in seconds (default 30, max 120). Listening already stops when the user finishes talking, so you rarely need this. |
| text_to_speak | string | yes | The summary or message to read aloud to the user. Plain, conversational text. |
No output schema declared.
No examples provided.
voice_setup Voice setup ~180
Check whether this computer has everything speak_and_listen needs — text-to-speech, a microphone recorder (SoX), whisper.cpp speech-to-text and the speech model — and optionally install what's missing. Anything already installed is reused (an existing model elsewhere on disk is symlinked, not re-downloaded). Call it with install=false (the default) first and tell the user what is missing. Only call it with install=true after the user agrees: it runs `brew install` for the missing packages and downloads the speech model once. It never uninstalls or changes anything else. If it reports INSTALLING, the install continues in the background — wait a minute and call it again to check.
| Name | Type | Req | Description |
|---|---|---|---|
| install | boolean | – | false (default): only check. true: brew install missing packages and download the model. Ask the user first. |
No output schema declared.
No examples provided.
What is the io.github.jeet0007/mac-voice-mcp server?
io.github.jeet0007/mac-voice-mcp is listed in the public MCP registry as io.github.jeet0007/mac-voice-mcp. Talk with your AI assistant out loud on a Mac, with on-device speech recognition (whisper.cpp). This page covers its npm package (mac-voice-mcp).
Is the io.github.jeet0007/mac-voice-mcp server safe to use?
io.github.jeet0007/mac-voice-mcp scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 30 September 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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.jeet0007/mac-voice-mcp server expose?
io.github.jeet0007/mac-voice-mcp exposes 2 tools: speak_and_listen, voice_setup. Their descriptions and schemas cost roughly 759 tokens of context every time the server is loaded.
Is the io.github.jeet0007/mac-voice-mcp server still maintained?
io.github.jeet0007/mac-voice-mcp is still listed as active in the MCP registry. We last reached this channel on 30 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.jeet0007/mac-voice-mcp server under?
io.github.jeet0007/mac-voice-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.