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videoctx

PYPI · VIDEOCTX

Read videos like images: index once locally, query the text layer, fetch frames on demand.

Available components

80 Trust /100

Last scanned (12 hours ago)

Scores higher than 79% of PyPI servers

Category Documents and Files

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 Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 3 of 54 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to dunfred/videoctx). View diagnostics → Pass
  • Clear OSI-approved license (Apache-2.0).Pass
  • Actively maintained (last published 0 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability67
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 581 tokens (~96/item across 6 items; 6 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management17
  • Stability observed for 5 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 (50% 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 6 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 current MCP spec version (2026-07-28).Pass
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.

  • 23 Oct 26 +16
    • Malware scan: unverified → pass ▲ security
  • 22 Oct 26 +11
    • Provenance: fail → pass ▲ security
    • The attested source repository moved: dunfred/videoctx security
    • Package version: 0.1.4 → 0.1.5 functional
  • 21 Oct 26 −14
    • Malware scan: pass → unverified ▼ security
    • Schema quality: 464 → 581 ▼ functional
    • Tool coverage: 60% → 50% ▼ functional
    • Stability: unverified → 0.10 ▲ functional
    • Package version: 0.1.2 → 0.1.4 functional
  • 19 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
  • 18 Oct 26 52

    First indexed and scored.

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 23 Oct 2026 · Analysed pypi/videoctx@0.1.5

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 pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo dunfred/videoctx
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/dunfred/videoctx/.github/workflows/release.yml@refs/tags/v0.1.5
Rekor log index 3386379090
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:e7806683e29d02557deb02c44034f55cf4585a73d48c94bc144dd2d55d295041

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

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

Dependencies 54 packages
Packages resolved 54
Stale 2
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 6 exposed · ~495 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
find_moments ~117

Semantic visual search: find the moments that best match a natural language description (e.g. 'a red car at night'), using local CLIP embeddings. Returns the top matches as timestamped thumbnails: use the timestamps to zoom in with get_frames. Requires embeddings built once with `videoctx embed <index>`; cheaper and more targeted than survey_video when you know what you are looking for.

NameTypeReqDescription
descriptionstringyes–
pathstringyes–
top_kinteger––

No output schema declared.

No examples provided.

get_frames ~122

Frames evenly spaced across [start_s, end_s]. Frames are expensive: use the narrowest range the question allows, and raise max_frames (up to 8) only when a sparse sample missed the moment. Set detail='high' (2x resolution, ~4x token cost) when small text, colors, patterns, or fine object details matter.

NameTypeReqDescription
detailstring––
end_snumberyes–
max_framesinteger––
pathstringyes–
start_snumberyes–

No output schema declared.

No examples provided.

index_video ~81

Index a video file for querying (shots, keyframes, speech transcript). Runs locally; takes roughly 10-20% of the video's duration. Idempotent - returns immediately if the video is already indexed. The other tools auto-index too, so calling this first is only needed to control when the wait happens.

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

survey_video ~58

One small thumbnail per shot across the whole video (subsampled to at most 24), each labeled with its timestamp. Cheap visual sweep for locating the relevant moment before zooming in with get_frames.

NameTypeReqDescription
pathstringyes–

No output schema declared.

No examples provided.

transcript_search ~57

Case-insensitive search over the transcript. Returns matching segments with surrounding context and timestamps: use the timestamps to target get_frames.

NameTypeReqDescription
context_snumber––
pathstringyes–
querystringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

video_overview ~60

The cheap text layer of a video: shot list with timestamps and visual captions (when present), interleaved with the speech transcript. Read this before fetching any frames: it answers most questions by itself.

NameTypeReqDescription
pathstringyes–
NameTypeReqDescription
resultstringyes–

No examples provided.

Install

How do I install the videoctx MCP server?

videoctx runs locally as a PyPI package, launched with uvx videoctx. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · videoctx

# add to Claude Code
claude mcp add dunfred-videoctx -- uvx videoctx
Common questions

What is the videoctx MCP server?

videoctx is an MCP server listed in the public MCP registry as io.github.dunfred/videoctx. Read videos like images: index once locally, query the text layer, fetch frames on demand. This page covers its PyPI package (videoctx).

Is the videoctx MCP server safe to use?

videoctx scores 80 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 23 October 2026. 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 videoctx MCP server expose?

videoctx exposes 6 tools: index_video, video_overview, survey_video, get_frames, find_moments, transcript_search. Their descriptions and schemas cost roughly 495 tokens of context every time the server is loaded.

Is the videoctx MCP server still maintained?

videoctx 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 videoctx MCP server under?

videoctx declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.