by tan-yong-sheng · MCP Server · ★ 46
AI Vision MCP Server A powerful Model Context Protocol (MCP) server that provides AI-powered image and video analysis using Google Gemini and Vertex AI models. Features Dual Provider Support: Choose between Google Gemini API and Vertex AI Multimodal Analysis: Support for both image and video content analysis Flexible File Handling: Upload via multiple methods (URLs, local files, base64) Storage Integration: Built-in Google Cloud Storage support Comprehensive Validation: Zod-based data validation throughout Error Handling: Robust error handling with retry logic and circuit breakers TypeScript:...
| Stars | 46 |
| Forks | 13 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.2138540925518/100 |
| Last Updated | 2026-04-06 |
| Created | 2025-10-05 |
| Platforms | mcp, node |
| Est. Tokens | ~3609k |
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ai-vision-mcp is A Model Context Protocol (MCP) server that provides vision capabilities to analyze image and video. It is categorized as a MCP Server with 46 GitHub stars.
ai-vision-mcp is primarily written in TypeScript.
You can find installation instructions and usage details in the ai-vision-mcp GitHub repository at github.com/tan-yong-sheng/ai-vision-mcp. The project has 46 stars and 13 forks, indicating an active community.
ai-vision-mcp is released under the MIT license, making it free to use and modify according to the license terms.