
Optics Mcp
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.
- tools
- 5
- transport
- SSE
- last updated
- Apr 23, 2026
Tools
5 toolsPublic tool metadata for what this MCP can expose to an agent.
recommend_lens_for_imagerGive it an imager PN → compatible lenses with FOV and angular resolution. One shot.
Give it an imager PN → compatible lenses with FOV and angular resolution. One shot.
No parameter schema in public metadata yet.
search_imagersFind sensors by PN, manufacturer, or resolution class.
Find sensors by PN, manufacturer, or resolution class.
No parameter schema in public metadata yet.
get_imager_detailFull sensor specs plus computed geometry (width / height / diagonal in mm).
Full sensor specs plus computed geometry (width / height / diagonal in mm).
No parameter schema in public metadata yet.
find_compatible_lensesGiven pixel count + pitch, return lenses whose image circle covers the sensor.
Given pixel count + pitch, return lenses whose image circle covers the sensor.
No parameter schema in public metadata yet.
search_productsFull catalog search by PN or keyword, with sample pricing and RFQ links.
Full catalog search by PN or keyword, with sample pricing and RFQ links.
No parameter schema in public metadata yet.
Sponsors
Readme
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
Details
- Repository
- github.com/sunex-ai/optics-mcp
- Category
- Search & Web Crawling
- Transport
- SSE
- Registry
- MCP registry, active