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co.pepys/pepys-mcp

NPM · PEPYS-MCP · 2 COMPONENTS · SCANNED SEP 20

Transcribe audio & video: diarization, timed SRT/VTT, podcasts, paste-a-link, whole-feed batch.

0 this week 78 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 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 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
Schema Quality & AI Usability81
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1163 tokens (~129/item across 9 items; 9 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 Management97
  • Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage85
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 56% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 10 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 co.pepys/pepys-mcp server?

co.pepys/pepys-mcp runs locally as an npm package, launched with npx -y pepys-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 · pepys-mcp

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

  • 17 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.

  • 15 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 14 Sept 26 +1
    • Stability: 0.97 → pass security
  • 12 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.

  • 10 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.

  • 8 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 7 Sept 26 +1
    • Stability: 0.97 → pass security
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/pepys-mcp@0.1.1

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 →

Dependencies 95 packages
Packages resolved 95
Stale 31
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 9 exposed · ~1,068 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
export_transcript ~102

Export a finished transcript as SRT, VTT, TXT, Markdown, or JSON, with correct caption timings. Segment-level export is free; word-level-timed export (word_level:true) is a paid unlock. (DOCX/PDF are available in the Pepys web app.)

NameTypeReqDescription
formatstringyes
job_idstringyes
word_levelbooleanWord-level timings (paid unlock). Segment-level export is free.

No output schema declared.

No examples provided.

get_credit_balance ~38

Return the account's remaining transcription credits (in minutes) so you can check headroom before starting a large batch and avoid running out mid-run.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_transcription ~103

Fetch a transcription by job_id: full text, per-speaker timestamped segments, summary, duration_seconds, billed_minutes, and language. Set wait_ms (up to 25000) to long-poll so short clips come back in one call; otherwise poll until status is 'done'.

NameTypeReqDescription
job_idstringyes
wait_msintegerLong-poll up to this many ms (cap 25000) for the job to finish.

No output schema declared.

No examples provided.

list_podcast_episodes ~63

Given a podcast RSS feed or Apple Podcasts show URL, list its episodes (title, publish date, episode_guid, audio_url) so you can pick exactly which one to transcribe.

NameTypeReqDescription
feed_urlstringyes
limitinteger

No output schema declared.

No examples provided.

list_transcriptions ~60

List this account's recent transcription jobs with their job_id, status, title, and duration, so you can resume, fetch, or export an earlier result instead of re-transcribing.

NameTypeReqDescription
limitinteger
statusstring

No output schema declared.

No examples provided.

search_transcript ~101

Search inside a long transcript for a phrase and get back only the matching timestamped segments – locate a quote or topic in an hours-long recording without loading the whole transcript into context.

NameTypeReqDescription
case_sensitiveboolean
context_segmentsintegerAlso return this many neighbor segments around each hit.
job_idstringyes
max_resultsinteger
querystringyes
whole_wordboolean

No output schema declared.

No examples provided.

transcribe ~336

Transcribe hours-long audio or video into an accurate, speaker-labeled (diarized), timestamped transcript with correctly-timed SRT/VTT captions – work a general model can't do on a raw file. Accepts a file_ref from upload_file or a url (YouTube, podcast episode, RSS feed, Google Drive/Dropbox share). Audio is never used to train models. Returns { job_id, status }; fetch the result with get_transcription.

NameTypeReqDescription
chaptersbooleanAlso generate chapters.
diarizebooleanLabel who said what. Paid capability; a non-entitled account gets an upgrade message.
episode_guidstringPick one podcast-feed episode by guid. Only with a feed url; mutually exclusive with episode_index.
episode_indexintegerPick one podcast-feed episode by position (0 = newest). Mutually exclusive with episode_guid.
file_refstringA file_ref from upload_file, for local media. Provide EITHER url OR file_ref.
idempotency_keystringMake retries safe; the same key returns the same job.
languagestringBCP-47 hint, e.g. 'en'. Omit to auto-detect.
qualitystring
summarybooleanAlso generate an AI summary.
translate_tostringBCP-47 target to translate the transcript into.
urlstringPublic media URL: a file, YouTube video, podcast RSS feed or episode, or a Drive/Dropbox share. Provide EITHER url OR file_ref.

No output schema declared.

No examples provided.

transcribe_podcast_feed ~115

Batch-transcribe a whole podcast feed in one call – fan out every episode, or the latest N, to individual jobs. Returns a set of job_ids. Paid capability (throughput/abuse gate).

NameTypeReqDescription
diarizeboolean
feed_urlstringyes
idempotency_keystringMake retries safe; the same key returns the same batch (no re-billing).
latestintegerTranscribe only the newest N episodes; omit for the whole feed.

No output schema declared.

No examples provided.

upload_file ~150

Upload local audio/video the agent is holding (as base64 bytes or a file path) and get back a file_ref to pass to transcribe. Use this when the media has no public URL. Requires the Pepys R2 storage backend.

NameTypeReqDescription
bytes_base64stringBase64-encoded media bytes. Provide EITHER path OR bytes_base64.
filenamestringOriginal filename (used to infer content type when mime_type is omitted).
mime_typestringaudio/* or video/* content type. Inferred from the filename/path extension if omitted.
pathstringAbsolute path to a local audio/video file. Provide EITHER path OR bytes_base64.

No output schema declared.

No examples provided.

Common questions

What is the co.pepys/pepys-mcp server?

co.pepys/pepys-mcp is listed in the public MCP registry as co.pepys/pepys-mcp. Transcribe audio & video: diarization, timed SRT/VTT, podcasts, paste-a-link, whole-feed batch. This page covers its npm package (pepys-mcp).

Is the co.pepys/pepys-mcp server safe to use?

co.pepys/pepys-mcp scores 78 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. 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 co.pepys/pepys-mcp server expose?

co.pepys/pepys-mcp exposes 9 tools: transcribe, get_transcription, upload_file, list_transcriptions, list_podcast_episodes, and 4 more. Their descriptions and schemas cost roughly 1,068 tokens of context every time the server is loaded.

Is the co.pepys/pepys-mcp server still maintained?

co.pepys/pepys-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 co.pepys/pepys-mcp server under?

co.pepys/pepys-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.