mcp-image-extractor
MCP server which allow LLM in agent mode to analyze image whenever it needs
How to use
The mcp-image-extractor is an advanced Model Context Protocol (MCP) server designed to enable Large Language Models (LLMs) in agent mode to effectively analyze and interpret images on demand. By leveraging this server, developers can enhance their applications with powerful image analysis capabilities, allowing for intelligent decision-making based on visual data.
Once connected to the mcp-image-extractor server, you can interact with it by sending image analysis requests through your LLM. The primary command you would use involves submitting an image URL or binary image data for processing. This server is particularly effective for queries that require detailed visual understanding, such as object recognition, scene analysis, or extracting text from images.
How to install
To install the mcp-image-extractor, you need to have Node.js installed on your machine.
Prerequisites
- Node.js (version 14.x or higher)
Option A: Quick Start with npx
If you prefer a quick start without setting up a local environment, you can run the following command using npx:
npx -y ifmelate/mcp-image-extractor
Option B: Global Install Alternative
You can also install the server globally using npm:
npm install -g mcp-image-extractor
Additional notes
When configuring the mcp-image-extractor, ensure you have the correct permissions set for image access, especially if you are working with local files. Additionally, be mindful of the size of images being processed, as large images may affect performance. You may also want to explore configuring environment variables for optimal server behavior based on your specific use case.
Related MCP Servers
ls
List MCP Server configurations in your system used by AI applications like Cursor, Claude Desktop, VS Code and others
agent-pm
MCP server for the planning and execution of AI-assisted development projects.
image-worker
Effortlessly resize, convert, optimize, and transform images with a single MCP server—then upload them directly to S3, Cloudflare R2, or Google Cloud Storage. Ideal for AI workflows, automation scripts, and developers who want seamless image handling in one tool.
seedream-image
🚀 PixelMCP | 为你的 Cursor、Claude Code 等集成AI绘画能力,让AI生成的页面不再单调!
cursor-buddy
🤖 MCP server that gives AI agents deep context about your project - coding standards, knowledge base, todos, database schema & history. Keep your AI assistant consistent and context-aware.
mcp -nodejs-api-docs
MCP Server for Node.js API documentation