Summary
A public proxy over Sunex's production lens and imager catalog that needs zero authentication. Five tools let you search sensors by part number or resolution, find compatible lenses for a given imager (with FOV and angular resolution computed), and pull pricing from optics-online.com. Built as a Cloudflare Worker with streamable HTTP transport and a legacy SSE fallback. Useful when you're spec'ing machine vision or security camera systems and want Claude to match sensors to optics on the fly instead of hunting through PDFs. The recommend_lens_for_imager tool is the fastest path: feed it an IMX577 and an F-number and get back a filtered list with geometry already worked out.
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one prompt install →Sunex Optics MCP Server
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.
Connect in 30 seconds
Claude
Settings → Connectors → Add custom connector → paste https://mcp.sunex-ai.com/mcp
Cursor / Continue / Zed
Add to your MCP config with transport streamable-http and the URL above.
ChatGPT
Via any MCP → OpenAPI bridge as a custom GPT Action.
Five tools
| 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. |
Example prompts
- "Recommend a wide-angle lens for the Sony IMX577 with F/2.0 or faster."
- "I need fisheye lenses under $100."
- "What's the diagonal of the IMX477 in mm?"
- "Find lenses for a 1920×1080 sensor with 3µm pixels, 100–180° HFOV."
Architecture
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.
Endpoints
| 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 |
Self-host
git clone https://github.com/Sunex-AI/Optics-mcp
cd Optics-mcp
npm install
npx wrangler login
npx wrangler deploy
Calling a tool directly (Python)
from 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}
)
Discovery
Public manifest: https://mcp.sunex-ai.com/.well-known/mcp.json
Contributing
Issues and PRs welcome. For requests about the backend API (pricing, additional catalog fields, new endpoints), email support@sunex.com.
License
MIT — see LICENSE.
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Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
