Match Commonlands lenses to a sensor

Find and rank Commonlands lenses for a sensor, target field of view, working distance, mount, or "lens for" request. Use this tool for FOV, HFOV, VFOV, DFOV, fi

liveverifiedunknown~5s typical

mcpprobedcommonlandsoptics:m12

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-commonlands-optics-mcp /match_lens_to_sensor for me.

Input

Field	Type	Description
widthPx	integer	Custom sensor: horizontal pixel count (e.g. 4056). Use with heightPx and pixelSizeUm.
heightPx	integer	Custom sensor: vertical pixel count (e.g. 3040).
horizontalPixels	integer	Alias for widthPx.
verticalPixels	integer	Alias for heightPx.
pixelSizeUm	number	Custom sensor: pixel pitch in microns (e.g. 1.55).
pixelPitchUm	number	Alias for pixelSizeUm.
sensorWidthMm	number	Custom sensor: active-area width in mm (alternative to pixels x pitch).
sensorHeightMm	number	Custom sensor: active-area height in mm.
sensor	string	Sensor part number, for example AR0234, IMX290, or IMX477. Any sensor in the live catalog
sensorPartNumber	string	Sensor part number. Alias for sensor.
sensor_part_number	string	Sensor part number. Snake-case alias for sensorPartNumber.
desired_horizontal_fov_deg	number
desiredHorizontalFovDeg	number
working_distance_mm	number
workingDistanceMm	number
mount	string	Optional mount filter, for example M12 or C-mount.
max_results	integer	default 5
maxResults	integer	default 5

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-commonlands-optics-mcp","endpoint":"/match_lens_to_sensor","input":{"max_results":5,"maxResults":5}}'

cli

npx cracked-ai run -p mcp-com-commonlands-optics-mcp -e /match_lens_to_sensor -i '{"max_results":5,"maxResults":5}'

mcp

run_tool({ provider: "mcp-com-commonlands-optics-mcp", endpoint: "/match_lens_to_sensor", input: {"max_results":5,"maxResults":5} })

Try it

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