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MCP Server - Image

by IA-Programming

The MCP Server - Image provides tools for fetching and processing images from various sources. It returns images as base64-encoded strings along with their MIME types.

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What is MCP Server - Image?

This is a Model Context Protocol (MCP) server designed to fetch and process images from URLs, local file paths, and numpy arrays. It includes a tool called fetch_images that returns images as base64-encoded strings along with their MIME types.

How to use MCP Server - Image?

To use the server, first install the prerequisites and dependencies. Then, run the server using the direct method or configure it for Windsurf/Cursor. You can then use commands like 'Fetch these images: [list of URLs or file paths]' to fetch and process images.

Key features of MCP Server - Image

  • Fetch images from URLs (http/https)

  • Load images from local file paths

  • Specialized handling for large local images

  • Automatic image compression for large images (>1MB)

  • Parallel processing of multiple images

  • Proper MIME type mapping for different file extensions

  • Comprehensive error handling and logging

Use cases of MCP Server - Image

  • Integrating image processing capabilities into AI applications

  • Fetching and displaying images from various sources in a consistent format

  • Processing large image datasets for analysis

  • Automating image retrieval and manipulation tasks

FAQ from MCP Server - Image

What Python version is required?

Python 3.10 or higher is required.

How do I install the dependencies?

Use the uv pip install -r requirements.txt command after activating the virtual environment.

How do I run the server directly?

Use the command uv run python mcp_image.py.

How do I configure this server for Windsurf/Cursor?

Edit the configuration file for Windsurf/Cursor and add the provided configuration snippet.

What do I do if I encounter an 'Unsupported image type' error?

Verify the content type handling and ensure the image format is supported.