MCP OpenVision

Created By
Nazrudena year ago
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?

  1. Analyzing retail product images for inventory management.
  2. Medical image analysis for diagnostic purposes.
  3. 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.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Nazruden
Star
0
Language
Python
License
MIT license

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