io.github.KitDevUA/video-vision-mcp
PYPI · VIDEO-VISION-MCP · SCANNED SEP 20
Analyze any video (local file or URL) into frames + transcript for Claude Code
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 Security99
- 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 native-build step with no shell scripting around it. View diagnostics → Pass
- 11 of 85 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency35
- 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
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 45 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability69
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 569 tokens (~142/item across 4 items; 4 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 Management80
- Stability observed for 24 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 (100% 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 supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.KitDevUA/video-vision-mcp server?
io.github.KitDevUA/video-vision-mcp runs locally as a PyPI package, launched with uvx video-vision-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · video-vision-mcp
claude mcp add kitdevua-video-vision-mcp -- uvx video-vision-mcp
{
"mcpServers": {
"kitdevua-video-vision-mcp": {
"command": "uvx",
"args": [
"video-vision-mcp"
]
}
}
} {
"servers": {
"kitdevua-video-vision-mcp": {
"command": "uvx",
"args": [
"video-vision-mcp"
]
}
}
} codex mcp add kitdevua-video-vision-mcp -- uvx video-vision-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"kitdevua-video-vision-mcp": {
"type": "local",
"command": [
"uvx",
"video-vision-mcp"
],
"enabled": true
}
}
} openclaw mcp add kitdevua-video-vision-mcp --command uvx --arg video-vision-mcp
mcp_servers:
kitdevua-video-vision-mcp:
command: "uvx"
args: ["video-vision-mcp"] {
"McpServers": {
"kitdevua-video-vision-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"video-vision-mcp"
]
}
}
} assistant mcp add kitdevua-video-vision-mcp -t stdio -c uvx -a video-vision-mcp
{
"mcpServers": {
"kitdevua-video-vision-mcp": {
"command": "uvx",
"args": [
"video-vision-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.
- 20 Sept 26 −3
- Stability: pass → 0.80 functional
- 19 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- Stability: 0.97 → pass security
- 17 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 15 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.
- 13 Sept 26 −3
- Stability: pass → 0.80 functional
- Package version: 0.5.0 → 0.5.1 functional
- 12 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- Stability: 0.97 → pass security
- 11 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 10 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.
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 pypi/video-vision-mcp@0.5.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
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 85 packages
| Packages resolved | 85 |
|---|---|
| Stale | 9 |
| No linked repository | 2 |
| 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 →
analyze_video ~222
Analyze a video into frames + transcript + metadata. Provide exactly ONE source: - file_path: local path to a video file (already on disk). - url: direct/streaming URL (yt-dlp for known sites, HTTP otherwise). frame_interval: seconds between sampled frames (default 1.0 = one per second). Denser sampling: 0.5 / 0.25 / 0.1; sparser: 2 / 5; or any custom value. The total is capped by the frame budget so long/dense videos can't flood context. Ignored by the native Gemini backend (it ingests the whole video). The backend (local whisper.cpp / OpenAI / Groq / native Gemini) is chosen automatically from configured keys and named in the result metadata. Results are cached per (file-hash, backend, frame_interval); pass force_refresh=true to recompute.
| Name | Type | Req | Description |
|---|---|---|---|
| file_path | – | – | – |
| force_refresh | boolean | – | – |
| frame_interval | – | – | – |
| url | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
extract_frames_at ~88
Extract frames at specific timestamps. timestamps accepts seconds ("12", "12.5") or "MM:SS" / "HH:MM:SS". Tier 1/2 return real frame images; with the Gemini backend you get a textual description of those moments instead (no local frame cutting).
| Name | Type | Req | Description |
|---|---|---|---|
| file_path | – | – | – |
| timestamps | array | yes | – |
| url | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | array | yes | – |
No examples provided.
get_video_transcript_only ~68
Fast path: return only the transcript text (no frame images). Same inputs and backend selection as analyze_video. With the Gemini backend, returns Gemini's analysis text instead of a plain transcript.
| Name | Type | Req | Description |
|---|---|---|---|
| file_path | – | – | – |
| force_refresh | boolean | – | – |
| url | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
list_recent_analyses ~26
List previously analyzed videos from the cache, with the backend used for each.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the io.github.KitDevUA/video-vision-mcp server?
io.github.KitDevUA/video-vision-mcp is listed in the public MCP registry as io.github.KitDevUA/video-vision-mcp. Analyze any video (local file or URL) into frames + transcript for Claude Code. This page covers its PyPI package (video-vision-mcp).
Is the io.github.KitDevUA/video-vision-mcp server safe to use?
io.github.KitDevUA/video-vision-mcp scores 76 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 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 io.github.KitDevUA/video-vision-mcp server expose?
io.github.KitDevUA/video-vision-mcp exposes 4 tools: analyze_video, get_video_transcript_only, extract_frames_at, list_recent_analyses. Their descriptions and schemas cost roughly 404 tokens of context every time the server is loaded.
Is the io.github.KitDevUA/video-vision-mcp server still maintained?
io.github.KitDevUA/video-vision-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.