three.ws Vision
NPM · @THREE-WS/VISION-MCP · SCANNED AUG 3
Image understanding for AI agents — analyze and describe any image via the three.ws pipeline.
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 Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. 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 (Apache-2.0).Pass
- Actively maintained (last published 29 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability65
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 914 tokens (~304/item across 3 items; 3 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 Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: 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.
npm · @three-ws/vision-mcp
claude mcp add nirholas-vision-mcp -- npx -y @three-ws/vision-mcp
codex mcp add nirholas-vision-mcp -- npx -y @three-ws/vision-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"nirholas-vision-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@three-ws/vision-mcp"
],
"enabled": true
}
}
} openclaw mcp add nirholas-vision-mcp --command npx --arg -y --arg @three-ws/vision-mcp
mcp_servers:
nirholas-vision-mcp:
command: "npx"
args: ["-y", "@three-ws/vision-mcp"] {
"mcpServers": {
"nirholas-vision-mcp": {
"command": "npx",
"args": [
"-y",
"@three-ws/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.
- 2 Aug 26 +45
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Schema quality: unverified → excellent ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Licence: Apache-2.0 functional
- 1 Aug 26 +13
- Tool coverage: unverified → 100 ▲ functional
- 31 Jul 26 −19
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 27 Jul 26 42
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 3 Aug 2026 · Analysed npm/@three-ws/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
analyze_image Analyze an image against a prompt ~321
Let the agent SEE an image and answer a question about it. Supply the image as `imageUrl` (a public https URL the vision server fetches) OR `image` (raw base64 / a data: URI), and a `prompt` describing what to extract — e.g. "What objects are in this scene?", "Read the text in this screenshot", "Is this avatar render rigged correctly?". Returns the model's answer as `text`, plus the `provider` and `model` that served it (a free NVIDIA NIM lane when available, an automatic paid backstop otherwise — the caller never pays). Analysis only: it does not store or mutate anything. Accepts JPEG, PNG, WebP, or GIF up to 12 MB; base64 inputs are size-checked before upload.
| Name | Type | Req | Description |
|---|---|---|---|
| image | string | — | The image as raw base64 or a `data:image/...;base64,...` URI. Provide this OR `imageUrl`, not both. |
| imageType | string | — | MIME type of a raw base64 `image` (ignored for data URIs / `imageUrl`). Defaults to image/jpeg. |
| imageUrl | string | — | Public https URL of the image to analyze. Provide this OR `image`, not both. |
| maxTokens | integer | — | Maximum tokens in the answer (16–2048). Higher = longer, more detailed reads. Default 512. |
| prompt | string | yes | The question or instruction about the image (what to extract, read, classify, or critique). |
No output schema declared.
No examples provided.
describe_image Describe an image in natural language ~313
Get a plain-language description of an image — ideal for alt text, captions, or a quick "what is this?" read when you have no specific question. Supply the image as `imageUrl` (a public https URL) OR `image` (raw base64 / data: URI). Use `detail` to pick brief / standard / detailed, and `focus` to steer the description toward something specific (e.g. "the clothing", "any visible text"). Returns the prose as `description`, plus the `provider` and `model` that served it (free NVIDIA NIM first, automatic paid backstop otherwise — the caller never pays). Read-only; accepts JPEG, PNG, WebP, or GIF up to 12 MB.
| Name | Type | Req | Description |
|---|---|---|---|
| detail | string | — | How much description to return: brief (one sentence), standard (2–3 sentences), or detailed (a full paragraph). |
| focus | string | — | Optional aspect to emphasize in the description (e.g. "any visible text", "the background", "the pose"). |
| image | string | — | The image as raw base64 or a `data:image/...;base64,...` URI. Provide this OR `imageUrl`, not both. |
| imageType | string | — | MIME type of a raw base64 `image` (ignored for data URIs / `imageUrl`). Defaults to image/jpeg. |
| imageUrl | string | — | Public https URL of the image to describe. Provide this OR `image`, not both. |
No output schema declared.
No examples provided.
get_vision_status Vision availability + accepted formats ~106
Check whether the three.ws vision pipeline is live on the target deployment and which image formats it accepts. Returns `configured` (true when at least one VLM provider — a free NVIDIA NIM lane or the paid backstop — can serve a request) and `image_types` (the accepted MIME types). Use this before calling analyze_image / describe_image so the agent can decide whether to offer a "describe this image" action. No image, no key, no cost.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.