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AI & MLAuto-generatedScore: 34

Computer Vision MCP Server

The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent co

Quick Answer

  1. 1. The Computer Vision MCP server lets Claude, Cursor, and VS Code interact with the Computer Vision API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 9 operations available including AnalyzeImage, DescribeImage, GenerateThumbnail, and more.
  4. 4. Quality score: 34/99 — fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 9

Transport: STDIO

Command: npx -y @mcp/azure-com-cognitiveservices-computervision

Spec: v1.0

Setup time: ~30 sec (no auth)

Environment Variables

COMPUTER_VISION_API_KEY

Example: your_computer_vision_api_key

One-Click Install

Copy the snippet for your MCP client and paste it in — zero editing required.

Claude Desktop

Add to claude_desktop_config.json

{
  "mcpServers": {
    "azure-com-cognitiveservices-computervision": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/azure-com-cognitiveservices-computervision"
      ],
      "env": {
        "COMPUTER_VISION_API_KEY": "your_computer_vision_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "azure-com-cognitiveservices-computervision": {
      "url": "https://mcpbridge.org/config/azure-com-cognitiveservices-computervision.json"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "azure-com-cognitiveservices-computervision": {
      "url": "https://mcpbridge.org/config/azure-com-cognitiveservices-computervision.json"
    }
  }
}

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "azure-com-cognitiveservices-computervision": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-cognitiveservices-computervision"],
      "env": {
      "COMPUTER_VISION_API_KEY": "your_computer_vision_api_key"
}
    }
  }
}

What You Can Build

With the Computer Vision MCP server, your AI assistant can:

  • Access 9 API operations through natural language
  • Read, create, and modify ai & ml resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

Endpoints

POST/analyze

AnalyzeImage

POST/describe

DescribeImage

POST/generateThumbnail

GenerateThumbnail

GET/models

ListModels

POST/models/{model}/analyze

AnalyzeImageByDomain

POST/ocr

RecognizePrintedText

POST/recognizeText

RecognizeText

POST/tag

TagImage

GET/textOperations/{operationId}

GetTextOperationResult

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: 1.0

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

34/99Fair
  • +Auto-generated (+12)
  • +OpenAPI spec available (+8)
  • +9 endpoints (+14)

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