Optics Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Optics Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A public Model Context Protocol server that lets AI assistants search Sunex's lens and imager catalog in natural language.
Live endpoint: https://mcp.sunex-ai.com/mcp Landing page: sunex-ai.com Transport: Streamable HTTP (MCP spec 2025-03-26). Legacy SSE endpoint at /sse preserved for older clients.
Settings → Connectors → Add custom connector → paste https://mcp.sunex-ai.com/mcp
Add to your MCP config with transport streamable-http and the URL above.
Via any MCP → OpenAPI bridge as a custom GPT Action.
| Tool | What it does |
|---|---|
recommend_lens_for_imager | Give it an imager PN → compatible lenses with FOV and angular resolution. One shot. |
search_imagers | Find sensors by PN, manufacturer, or resolution class. |
get_imager_detail | Full sensor specs plus computed geometry (width / height / diagonal in mm). |
find_compatible_lenses | Given pixel count + pitch, return lenses whose image circle covers the sensor. |
search_products | Full catalog search by PN or keyword, with sample pricing and RFQ links. |
Claude / Cursor / ChatGPT → mcp.sunex-ai.com → optics-online.com/api/v1
(MCP client) (Cloudflare Worker) (ASP JSON API)Thin proxy on Cloudflare Workers (free tier) over Sunex's production catalog. Streamable HTTP transport per MCP spec 2025-03-26 (with legacy SSE preserved). No auth, read-only.
| Path | Purpose |
|---|---|
/mcp | Primary — Streamable HTTP transport (current MCP standard) |
/sse | Legacy SSE transport, preserved for backward compatibility |
/.well-known/mcp.json | Public discovery manifest |
/ | Landing page with install instructions |
git clone https://github.com/Sunex-AI/Optics-mcp
cd Optics-mcp
npm install
npx wrangler login
npx wrangler deployfrom mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async with streamablehttp_client("https://mcp.sunex-ai.com/mcp") as (r, w, _):
async with ClientSession(r, w) as session:
await session.initialize()
result = await session.call_tool(
"recommend_lens_for_imager",
{"imagerPn": "IMX577", "fNumMax": 2.0}
)Public manifest: https://mcp.sunex-ai.com/.well-known/mcp.json
Issues and PRs welcome. For requests about the backend API (pricing, additional catalog fields, new endpoints), email [email protected].
MIT — see LICENSE.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.