What image input methods does View Image support?

It supports loading images directly from a file path on your filesystem or accepting them as base64-encoded data URIs.

What metadata does View Image extract from images?

It extracts and returns key metadata such as the image's width, height, and its original file format before any conversion.

Does View Image perform image format conversions?

Yes, it automatically converts common image formats like JPEG, WebP, and GIF into PNG format for consistent output.

How is the processed image data returned?

The tool returns processed images and their metadata in a structured Model Context Protocol (MCP) multipart format, making it easy for AI agents to consume.

What is View Image and its primary function?

View Image is an MCP server designed for AI agents to view and process images. It accepts images via file path or base64 data and returns them in a standardized multipart format with rich metadata.

View Image

Name: View Image
Author: TheFabFab

byTheFabFab

•

数据科学与机器学习

开发者工具

Provides image viewing capabilities for AI agents, accepting images via file path or base64 data and returning them in a standardized multipart format with metadata.

This Model Context Protocol (MCP) server empowers AI agents with robust image viewing capabilities. It acts as an intermediary, allowing agents to ingest images either directly from a specified file path on the filesystem or as base64-encoded data URIs. The server automatically handles format conversions (e.g., JPEG, WebP, GIF to PNG) for consistency, extracts crucial metadata like dimensions and original format, and delivers the processed image and its associated data in a standardized multipart format, streamlining visual analysis and data processing for AI applications.

主要功能

01Output structured content matching MCP multipart format

02Extract and return image dimensions and original format metadata

030 GitHub stars

04Automatically convert JPEG, WebP, GIF to PNG

05Accept images as data URI with base64 encoding

06Load images directly from the filesystem via file path

使用案例

01Standardizing image inputs for consistent AI agent processing in vision tasks.

02Enabling AI agents to visually analyze local image files.

03Processing base64-encoded image data provided to AI agents.