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?
What Python version is required?
Python 3.10 or higher is required.
How do I install the dependencies?
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?
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?
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?
What do I do if I encounter an 'Unsupported image type' error?
Verify the content type handling and ensure the image format is supported.