MCP Server for Binge-watch
OCI · GHCR.IO/AAHL/MCP-VODS:LATEST · 2 COMPONENTS · SCANNED AUG 3
MCP Server for Binge-watch / MoonTV / LunaTV. 一个用于追剧/追番的MCP服务器,为AI提供搜索影视播放地址的能力,并支持在小米等安卓电视/投影仪上直接播放
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 →
Supply Chain Security0
- Malware scan not yet available for this package.Unverified
- CVE data not yet available for this package.Unverified
- Install-script risk not yet assessed.Unverified
- Dependency-health data not yet available.Unverified
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 185 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability0
- Instruction-quality not yet verified: the AI judgement didn't run.Unverified
- Nothing to assess: this server exposes no tool/resource definitions to measure a footprint for. See how to fix → Fail
- Nothing to assess: this server has no tools to check for usage examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
- Nothing to assess: this server exposes no tools, so there are no tool definitions to check for coverage.Fail
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 2 categories
Categories scored 0 because we could not verify them: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
oci · ghcr.io/aahl/mcp-vods:latest
claude mcp add aahl-mcp-vods -- docker run --rm -i ghcr.io/aahl/mcp-vods:latest
codex mcp add aahl-mcp-vods -- docker run --rm -i ghcr.io/aahl/mcp-vods:latest
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"aahl-mcp-vods": {
"type": "local",
"command": [
"docker",
"run",
"--rm",
"-i",
"ghcr.io/aahl/mcp-vods:latest"
],
"enabled": true
}
}
} mcp_servers:
aahl-mcp-vods:
command: "docker"
args: ["run", "--rm", "-i", "ghcr.io/aahl/mcp-vods:latest"] {
"mcpServers": {
"aahl-mcp-vods": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"ghcr.io/aahl/mcp-vods:latest"
]
}
}
} 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.
- 31 Jul 26 +3
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 0
- Tool coverage: unverified → fail ▼ functional
- First check of Schema quality: unverified functional
- First check of Schema quality: unverified functional
- First check of Schema quality: unverified functional
- 26 Jul 26 11
First indexed and scored.
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
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 3 Aug 2026 · Analysed oci/ghcr.io/aahl/mcp-vods:latest
Provenance none
Ecosystem: oci · Outcome: none
Reason: no_attestation
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.
The sandbox run completed and this package exposed no tools.