babelscribe
PYPI · BABELSCRIBE
Offline speech-to-text and SRT subtitles in 99 languages on your own AMD/NVIDIA/Intel/Apple GPU.
Available components
Last scanned (13 hours ago)
Scores higher than 70% of PyPI servers
Category Design and Media
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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 29 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- 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 16 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 443 tokens (~110/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management30
- Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (25% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
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.
- 23 Oct 26 +4
- Stability: unverified → 0.30 ▲ functional
- 14 Oct 26 +28
- Injection markers: unverified → pass ▲ security
- First check of Judged manipulation: pass security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Tool coverage: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Schema quality: fail functional
- First check of Tool coverage: 0 functional
- First check of Destructive annotations: pass functional
- First check of Schema quality: pass functional
- First check of Schema quality: good functional
- First check of Tool coverage: 25 functional
- 12 Oct 26 39
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 23 Oct 2026 · Analysed pypi/babelscribe@0.3.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 29 packages
| Packages resolved | 29 |
|---|---|
| No linked repository | 1 |
| 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 →
find_media Find audio/video files ~75
Find audio/video files on this computer, newest first. Searches Downloads, Videos, Desktop, Music and Documents (two levels deep) unless folder is given. Use it when the user names a file without a full path.
| Name | Type | Req | Description |
|---|---|---|---|
| folder | string | – | – |
| limit | integer | – | – |
| name_contains | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
list_devices List GPUs ~24
GPUs whisper.cpp can use on this computer and which one babelscribe picks automatically.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_languages_and_models List languages and models ~23
Models available, and which model --accurate uses per language.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
transcribe Transcribe audio/video to subtitles ~185
Transcribe a local audio or video file into subtitles / text. file_path: absolute path to the media file (mp4, mkv, mov, mp3, wav, m4a, ...). language: ISO code such as en, th, ja, es, hi — or "auto" to detect. accurate: slower, fewest errors (large-v3 with beam search, or the best fine-tune for Thai / Hindi). formats: comma list from srt, vtt, txt, json. output_dir: folder for the output files; empty = next to the media file. Returns the files written, detected language, device used, and the transcript text.
| Name | Type | Req | Description |
|---|---|---|---|
| accurate | boolean | – | – |
| file_path | string | yes | – |
| formats | string | – | – |
| language | string | – | – |
| output_dir | string | – | – |
No output schema declared.
No examples provided.
How do I install the babelscribe MCP server?
babelscribe runs locally as a PyPI package, launched with uvx babelscribe. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · babelscribe
claude mcp add phonology024-babelscribe -- uvx babelscribe
What is the babelscribe MCP server?
babelscribe is an MCP server listed in the public MCP registry as io.github.phonology024/babelscribe. Offline speech-to-text and SRT subtitles in 99 languages on your own AMD/NVIDIA/Intel/Apple GPU. This page covers its PyPI package (babelscribe).
Is the babelscribe MCP server safe to use?
babelscribe scores 71 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 23 October 2026. 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 babelscribe MCP server expose?
babelscribe exposes 4 tools: transcribe, find_media, list_devices, list_languages_and_models. Their descriptions and schemas cost roughly 307 tokens of context every time the server is loaded.
Is the babelscribe MCP server still maintained?
babelscribe is still listed as active in the MCP registry. We last reached this channel on 23 October 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 babelscribe MCP server under?
babelscribe declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.