Read Images
R

Read Images

An MCP image analysis server based on OpenRouter visual models
2.5 points
9.7K

What is the MCP Image Reading Server?

The MCP Image Reading Server is a tool built on the OpenRouter API for analyzing image content. It supports multiple visual models, such as Claude-3.5-Sonnet and Claude-3-Opus, to help users understand the information in images.

How to use the MCP Image Reading Server?

Users can call this server through simple commands, upload images, and ask questions, and the server will return detailed analysis results.

Applicable Scenarios

Suitable for application scenarios that require a quick understanding of image content, such as academic research, business data analysis, or personal interests.

Main Features

Automatic Image Optimization
Supports automatic adjustment of image size and quality to ensure the best analysis results.
Multiple Model Selection
Allows users to select different visual models for image analysis.
Customized Questions
Users can ask specific questions to guide image analysis.
Advantages
Supports multiple advanced visual models
Automatically processes image files
Easy to integrate into existing systems
Limitations
Requires a valid API key
Some complex tasks may require higher-performance hardware

How to Use

Install Dependencies
Run the command npm install @catalystneuro/mcp_read_images to install the required dependencies.
Configure the Server
Add the MCP server configuration in the VSCode settings, including the API key and the default model.
Call the Analysis Tool
Use the use_mcp_tool function to upload an image and get the analysis results.

Usage Examples

Analyze a Pet Photo
Upload a photo of a pet and ask about its breed.
Analyze a Work of Art
Upload a work of art and ask about its theme.

Frequently Asked Questions

How to get an API key?
Which models does the server support?
What if the image cannot be uploaded?

Related Resources

Official Documentation
Learn in detail how to use the OpenRouter API.
GitHub Repository
View the project source code and contribution guidelines.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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