tan-yong-sheng/ai-vision-mcp

Overview

A Model Context Protocol (MCP) server that adds vision capabilities to analyze images and video. It is written in TypeScript and integrates with MCP-compatible clients to enable visual data processing within AI workflows.

Best for

Best for
Developers building MCP-based applications that need basic image and video analysis

Use cases

• Extract content from images via MCP-based agents
• Analyze video frames for object or scene detection
• Integrate vision analysis into existing MCP toolchains

Notes

A Model Context Protocol (MCP) server that adds vision capabilities to analyze images and video. It is written in TypeScript and integrates with MCP-compatible clients to enable visual data processing within AI workflows.

54 stars on GitHub. Last updated 2026-04-06. Licensed MIT.

Use cases

• Extract content from images via MCP-based agents
• Analyze video frames for object or scene detection
• Integrate vision analysis into existing MCP toolchains

Pros

• Open source and free to use
• Written in TypeScript for type safety and maintainability
• Provides vision functionality within the MCP ecosystem

Cons

• Limited community adoption (54 stars) may indicate fewer resources or slower updates
• Requires an MCP-compatible client or host to function
• Vision capabilities may be less comprehensive than dedicated vision APIs

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.