MCP OpenVision
MCP Server using OpenRouter models to get descriptions for images
Overview
What is MCP OpenVision?
MCP OpenVision is a Model Context Protocol (MCP) server that provides image analysis capabilities powered by OpenRouter vision models, enabling AI assistants to analyze images through a simple interface.
How to use MCP OpenVision?
To use MCP OpenVision, install it via pip or Smithery, configure it with your OpenRouter API key, and utilize the image_analysis function to analyze images by providing various input types such as URLs, local file paths, or base64-encoded data.
Key features of MCP OpenVision?
- Image analysis using various OpenRouter vision models.
- Support for multiple input types: Base64, URLs, and local file paths.
- Customizable queries to enhance analysis results.
Use cases of MCP OpenVision?
- Analyzing retail product images for inventory management.
- Medical image analysis for diagnostic purposes.
- Extracting data from charts and graphs for reporting.
FAQ from MCP OpenVision?
- What types of images can be analyzed?
MCP OpenVision can analyze images provided as Base64 strings, URLs, or local file paths.
- Do I need an API key?
Yes, an OpenRouter API key is required for configuration.
- Can I use custom vision models?
Yes, you can specify any compatible OpenRouter model for image analysis.
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