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/sseLanding page: sunex-ai.com
Connect in 30 seconds
Claude
Settings → Connectors → Add custom connector → paste https://mcp.sunex-ai.com/sse
Cursor / Continue / Zed
Add to your MCP config with transport sse 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. SSE transport per MCP spec 2024-11-05. No auth, read-only.
Self-host
git clone https://github.com/sunex-ai/optics-mcp
cd optics-mcp
npm install
npx wrangler login
npx wrangler deploy
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 [email protected].
License
MIT — see LICENSE.
