Sunex Optics Server

MIT License MCP Deploy

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/sse Landing 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

mcpServer Config block

{ "mcpServers": { "sunex-optics": { "type": "sse", "url": "https://mcp.sunex-ai.com/sse" } } }

Contributing

Issues and PRs welcome. For requests about the backend API (pricing, additional catalog fields, new endpoints), email [email protected].

License

MIT — see LICENSE.