$ loading_
Estimate image depth maps through an MCP tool endpoint for vision workflows.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Execute depth-map-estimator-mcp" MCP server from askskill: Run: claude mcp add --transport sse 'io-github-evozim-depth-map-estimator-mcp' 'https://api.m2mcent.com/depth-map-estimator-mcp/sse'
Use depth-map-estimator-mcp to estimate depth for this image and return the depth map result.
A depth map or depth estimation result for the image, ready for downstream vision tasks.
Estimate depth for these two images separately, then briefly compare their foreground, subject, and background layering.
Depth results for both images plus a short comparison of scene layering differences.
I’m working on a vision processing project. Generate a depth map for the input image and explain how the result may be used downstream.
A depth map along with a brief note on possible downstream uses.
Developers can call this tool in AI or computer vision workflows to generate depth maps from input images. It fits scenarios where depth estimation needs to be integrated into an automated pipeline.
Designers or researchers can use it to analyze foreground-background layering in images. This helps them understand scene structure and support later processing.
No documentation provided
Check the source repo for usage and examples.
Based on its name, it is used to estimate image depth maps and expose that capability as an MCP tool. The description also states that it is a premium agentic endpoint.
From the tool name, its core input is likely an image used for depth estimation. For exact input formats and parameters, see the source repository.
The provided material does not include installation, authentication, or runtime requirements. See the source repository for integration details.
Run monocular depth estimation on images with Apple's Depth Pro model.
Execute displacement and height map related tasks through an MCP endpoint.
Extract image color, texture, and shape features for precise comparison and quality assessment.
Access 80+ image tools for generation, editing, upscaling, and diagram rendering.
Enable non-vision agents to describe images, run OCR, and extract structured data.
Analyze images for AI-generation signs using multiple forensic inspection methods.