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.
Key Features
01Output structured content matching MCP multipart format
02Extract and return image dimensions and original format metadata
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04Automatically convert JPEG, WebP, GIF to PNG
05Accept images as data URI with base64 encoding
06Load images directly from the filesystem via file path
Use Cases
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.
