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by thuhoai27 • File & Storage
Reads local image files and returns Base64-encoded data for AI models.
Load local image files and provide them to vision-capable models as Base64-encoded inputs.
A simple MCP endpoint to convert images from various formats (JPG, PNG, etc.) into a standardized Base64 payload.
Support both absolute and relative filesystem paths when ingesting images for analysis or preprocessing.
ImageReader is an MCP server that reads image files from the local filesystem and converts them into Base64-encoded data consumable by AI models. It supports multiple common image formats (JPG, PNG, etc.) and accepts both absolute and relative file paths. The tool is intended to be run as an MCP server (example install via npx) so agents can request image data during model workflows. This simplifies supplying image content to models without embedding file-transfer logic in the agent itself.
Reads an image file from the specified path and returns it as Base64-encoded JPEG data
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