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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.

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