com.sunex/optics-mcp (Sunex Optics MCP Server)

This Model Context Protocol (MCP) server provides a natural-language way to search Sunex’s lens and imager catalog, match compatible optics, and retrieve pricing. It is a public MCP server for AI assistants, requiring no API key for use.

🛠️ Key Features

Search Sunex lenses and imager sensors
Match compatible optics
Get pricing
Public MCP endpoint: https://mcp.sunex-ai.com/mcp
Streamable HTTP transport (MCP spec 2025-03-26)
Legacy SSE endpoint preserved at /sse
Tool count: 5

🚀 Use Cases

Selecting lenses for machine-vision optics
Finding imager sensors for robotics and stereo-vision setups
Determining compatibility for s-mount, M12, and related optics systems

⚡ Developer Benefits

Natural-language catalog queries
Works with MCP 2025-03-26 via Streamable HTTP
Backward compatibility for older clients via /sse

⚠️ Limitations

Connector setup details are not provided beyond the provided onboarding snippet
Compatibility matching scope is limited to Sunex’s lens and imager catalog

Topics

cmos-imagers, lens, m12, machine-vision, mcp, optics, physical-ai, robotics, stereo-vision, s-mount

{ "type": "object", "properties": { "pn": { "description": "Partial ImagerPN match (e.g. 'IMX577', 'OV')", "type": "string" }, "mfg": { "description": "Partial manufacturer match (e.g. 'Sony')", "type": "string" }, "resClass": { "description": "Resolution class prefix (e.g. '2MP (1080p)')", "type": "string" }, "detail": { "type": "boolean" }, "limit": { "type": "integer", "minimum": 1, "maximum": 500 } }, "$schema": "http://json-schema.org/draft-07/schema#" }

{ "type": "object", "properties": { "pn": { "type": "string", "description": "Required. Partial ImagerPN match." }, "limit": { "type": "integer", "minimum": 1, "maximum": 256 } }, "required": [ "pn" ], "$schema": "http://json-schema.org/draft-07/schema#" }

{ "type": "object", "properties": { "hPixel": { "type": "integer", "exclusiveMinimum": 0, "maximum": 9007199254740991 }, "vPixel": { "type": "integer", "exclusiveMinimum": 0, "maximum": 9007199254740991 }, "hPitch": { "type": "number", "exclusiveMinimum": 0, "description": "Horizontal pixel pitch in µm" }, "vPitch": { "description": "Defaults to hPitch", "type": "number", "exclusiveMinimum": 0 }, "hFovMin": { "type": "number" }, "hFovMax": { "type": "number" }, "vFovMin": { "type": "number" }, "vFovMax": { "type": "number" }, "dFovMin": { "type": "number" }, "dFovMax": { "type": "number" }, "fNumMin": { "type": "number" }, "fNumMax": { "type": "number" }, "limit": { "type": "integer", "minimum": 1, "maximum": 500 } }, "required": [ "hPixel", "vPixel", "hPitch" ], "$schema": "http://json-schema.org/draft-07/schema#" }

{ "type": "object", "properties": { "pn": { "type": "string" }, "q": { "description": "Description keyword (e.g. 'fisheye')", "type": "string" }, "detail": { "type": "boolean" }, "limit": { "type": "integer", "minimum": 1, "maximum": 500 } }, "$schema": "http://json-schema.org/draft-07/schema#" }

{ "type": "object", "properties": { "imagerPn": { "type": "string", "description": "Imager part number, e.g. 'IMX577', 'AR0820'" }, "hFovMin": { "type": "number" }, "hFovMax": { "type": "number" }, "dFovMin": { "type": "number" }, "dFovMax": { "type": "number" }, "fNumMax": { "description": "Cap F-number (e.g. 2.0 = fast lenses only)", "type": "number" }, "limit": { "type": "integer", "minimum": 1, "maximum": 500 } }, "required": [ "imagerPn" ], "$schema": "http://json-schema.org/draft-07/schema#" }

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.

Architecture

code

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.

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

Calling a tool directly (Python)

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}
        )

Install

Tools (5)

search_imagersget_imager_detailfind_compatible_lensessearch_productsrecommend_lens_for_imager

Remote endpoint

SSE

Hosted server - connect over the network, no local install.

url

https://mcp.sunex-ai.com/sse

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "optics-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.sunex-ai.com/sse"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

com.sunex/optics-mcp