Sunex

by sunex-ai

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About

Enables AI assistants to search Sunex's lens and imager catalog using natural language queries. It provides tools for finding compatible lenses, sensor specifications, and product details through a public Model Context Protocol server.

Details

Author
sunex-ai
Categories
Other, Search, Database, Productivity

Setup

Install Sunex in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/sunex-ai/Optics-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

A publicModel Context Protocolserver that lets AI assistants searchSunex's lens and imager catalog in natural language.

Live endpoint:https://mcp.sunex-ai.com/mcpLanding page:sunex-ai.comTransport:Streamable HTTP (MCP spec 2025-03-26). Legacy SSE endpoint at/ssepreserved for older clients.

Settings → Connectors → Add custom connector → pastehttps://mcp.sunex-ai.com/mcp

Add to your MCP config with transportstreamable-httpand the URL above.

Via any MCP → OpenAPI bridge as a custom GPT Action.

- "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."

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.

git clone https://github.com/Sunex-AI/Optics-mcp cd Optics-mcp npm install npx wrangler login npx wrangler deploy
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} )

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), emailsupport@sunex.com.

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