image-mcp-server
by MCP-Mirror
This is an MCP server that takes an image URL and analyzes its content using the GPT-4o-mini model. It provides detailed image recognition and descriptions.
Last updated: N/A
What is image-mcp-server?
The image-mcp-server is an MCP (Message Communication Protocol) server designed to analyze images from provided URLs using the GPT-4o-mini model. It enables applications like Cline and Claude to understand and describe the content of images.
How to use image-mcp-server?
- Clone the repository. 2. Install dependencies using
npm install
. 3. Compile TypeScript usingnpm run build
. 4. Set theOPENAI_API_KEY
environment variable. 5. Configure the MCP server in Cline or Claude Desktop App by adding the provided JSON configuration to the respective settings files. 6. Use theanalyze_image
tool with an image URL.
Key features of image-mcp-server
Accepts image URLs as input
Analyzes image content using GPT-4o-mini
Provides detailed image descriptions
Includes image URL validation
Use cases of image-mcp-server
Image content analysis for AI assistants
Automated image description generation
Integration with Claude and Cline for image understanding
Content moderation and filtering based on image analysis
FAQ from image-mcp-server
What is the purpose of this server?
What is the purpose of this server?
This server analyzes images from URLs using the GPT-4o-mini model to provide detailed descriptions of their content.
What API key do I need?
What API key do I need?
You need an OpenAI API key to use this server. Set it as the OPENAI_API_KEY
environment variable.
How do I configure this server for Cline?
How do I configure this server for Cline?
Add the provided JSON configuration to your cline_mcp_settings.json
file.
How do I configure this server for Claude Desktop App?
How do I configure this server for Claude Desktop App?
Add the provided JSON configuration to your claude_desktop_config.json
file.
What command is used to analyze an image?
What command is used to analyze an image?
Use the analyze_image
command followed by the image URL. For example: analyze_image: https://example.com/image.jpg