What is the key difference between AI Vision MCP and Memory?

AI Vision MCP belongs to the Other Tools and Integrations category with local stdio execution, while Memory belongs to the Other Tools and Integrations category with local stdio execution.

How do I install AI Vision MCP or Memory in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are AI Vision MCP and Memory free or paid?

AI Vision MCP operates under a BYOK (Pay Provider Direct) model (API Key required). Memory operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

AI Vision MCP lists 3 tools with 2 views and 78 GitHub stars. Memory lists 4 tools with 2 views and 90,185 GitHub stars.

Can I use both AI Vision MCP and Memory together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

AI Vision MCP vs Memory

In-depth architectural comparison of the AI Vision MCP and Memory MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

AI Vision MCP

Other Tools and Integrations · Local stdio

Quality: 57/100 (Good) | Auth: API Key required

Memory

Other Tools and Integrations · Local stdio

Quality: 75/100 (Great) | Auth: No auth required

Verdict Summary: Choose AI Vision MCP if you need specialized Other Tools and Integrations tools running via a local process. Choose Memory if your workspace requires Other Tools and Integrations integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose AI Vision MCP when:

You need dedicated capabilities in the Other Tools and Integrations domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: IMAGE_PROVIDER, VIDEO_PROVIDER, GEMINI_API_KEY, VERTEX_CLIENT_EMAIL, VERTEX_PRIVATE_KEY, VERTEX_PROJECT_ID, GCS_BUCKET_NAME.
Primary tools included: palette, hierarchy, components.

Explore AI Vision MCP Details

Choose Memory when:

You need dedicated capabilities in the Other Tools and Integrations domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Knowledge graph-based data storage, Persistent memory for LLMs, Reference implementation for MCP SDK usage.

Feature & Specification Comparison

Specification	AI Vision MCP tan-yong-sheng Other Tools and Integrations	Memory VerifiedOther Tools and Integrations
Summary	Multimodal AI vision MCP server for image, video, and object detection analysis. Enables UI/UX evaluation, visual regression testing, and interface understanding using Google Gemini and Vertex AI.	Knowledge graph-based persistent memory system.
Category & Scope

Tools & Capabilities Breakdown

AI Vision MCP Tools (3)

palette

Extract design tokens (colors, spacing, typography)

hierarchy

Analyze visual hierarchy and eye flow

components

Catalog UI components and design system maturity

Memory Tools (4)

Knowledge graph-based data storage

Persistent memory for LLMs

Reference implementation for MCP SDK usage

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

AI Vision MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "tan-yong-sheng-ai-vision-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "ai-vision-mcp"
      ],
      "env": {
        "IMAGE_PROVIDER": "YOUR_IMAGE_PROVIDER_HERE",
        "VIDEO_PROVIDER": "YOUR_VIDEO_PROVIDER_HERE",
        "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY_HERE",
        "VERTEX_CLIENT_EMAIL": "YOUR_VERTEX_CLIENT_EMAIL_HERE",
        "VERTEX_PRIVATE_KEY": "YOUR_VERTEX_PRIVATE_KEY_HERE",
        "VERTEX_PROJECT_ID": "YOUR_VERTEX_PROJECT_ID_HERE",
        "GCS_BUCKET_NAME": "YOUR_GCS_BUCKET_NAME_HERE"
      }
    }
  }
}

Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Frequently Asked Questions

AI Vision MCP is categorized under Other Tools and Integrations and uses a local stdio subprocess. In contrast, Memory belongs to Other Tools and Integrations using local stdio subprocess. Select AI Vision MCP when you need capabilities focused on other tools and integrations and Memory when you require tools for other tools and integrations.

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