Huuthangntk Claude Vision Mcp Server

ai.smithery由 smithery.ai 發布官方發布者v1.0.0更新於 Oct 24, 2026

Analyze images from multiple angles to extract detailed insights or quick summaries. Describe visu…

發布方自己的服務:222wcnm Bilistalkermcp

已驗證Streamable HTTP可網頁執行開發者工具AI 與機器學習

概覽

AI 產生的概覽

遠端 MCP 伺服器,把提示交給 Anthropic 的 Claude 做深度分析思考與影像分析,常用於寫程式之前。

可以做什麼
  • 對新資訊(錯誤訊息、需求、程式碼審查意見、架構問題)執行深度思考分析
  • 在動手寫程式前提供洞察、替代方案與最佳實務建議
  • 從多個角度分析圖片,擷取詳細洞察或快速摘要
  • 依提示描述影像內容
適用情境
適合希望助理在開始寫程式前先釐清問題、錯誤、設計決策或圖片,且願意把這些內容交給 Anthropic 的 Claude 模型處理的情境。
執行需求
遠端 streamable HTTP 端點;清單未宣告驗證,但 README 說明自架或 Docker 部署需要 Anthropic Claude API 金鑰(ANTHROPIC_API_KEY)與可選的模型設定(CLAUDE_MODEL)。託管端點另需 Smithery 的 Bearer 權杖標頭。
安裝前請注意
提示、程式碼片段與圖片會傳送到 Anthropic 的 Claude API,請勿提交機密內容。README 範例把 API 金鑰放在 URL 查詢參數中,可能外洩到日誌,建議改用環境變數。README 也建議保持工具呼叫的手動確認。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Huuthangntk Claude Vision Mcp Server,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.smithery%2Fhuuthangntk-claude-vision-mcp-server/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "huuthangntk-claude-vision": {
      "type": "http",
      "url": "https://server.smithery.ai/@huuthangntk/claude-vision-mcp-server/mcp"
    }
  }
}

README

Claude Deep Think MCP Server

A powerful Model Context Protocol (MCP) server that provides proactive deep analytical thinking using Anthropic's Claude Sonnet 4.5. This tool is designed to be called BEFORE writing code when new information arrives.

⚡ Core Concept: Think Before Code

Use this tool FIRST when new information arrives, BEFORE writing any code:

  • 🐛 Error messages or stack traces
  • 📝 User requirements or feature requests
  • 💬 Code review feedback
  • 🚀 Performance issues
  • 🔒 Security alerts
  • 📚 API documentation to integrate
  • 🗄️ Database problems
  • 💭 UX/UI feedback
  • 🔄 Breaking changes in dependencies
  • 🏗️ Architectural decisions

Workflow: New Info → Think Tool → Review Insights → Write Better Code

🌟 Features

Deep Think & Analysis (claude_think)

Provides intelligent insights, suggestions, and strategic guidance before code implementation. Perfect for:

  • ✅ Understanding context deeply before acting
  • ✅ Identifying potential pitfalls upfront
  • ✅ Suggesting best practices from the start
  • ✅ Offering alternative approaches
  • ✅ Extracting key information for efficient implementation
  • ✅ Strategic decision-making
  • ✅ Problem-solving and architecture planning

Result: Fewer bugs, better code quality, faster development!

📋 Prerequisites

  • Node.js 18+ or Bun
  • Anthropic Claude API key (Get one here)
  • MCP-compatible client (Cursor IDE, Claude Desktop, etc.)

🚀 Quick Start

1. Installation

bash
cd claude-vision-mcpbun install# ornpm install

2. Configuration

The API key is configured when connecting to the MCP server (see Docker or Cursor setup below).

3. Build

bash
bun run build# ornpm run build

🐳 Docker Setup (Recommended)

Quick Start

bash
cd claude-vision-mcp
# Create .env file with your API keyecho "ANTHROPIC_API_KEY=your-key-here" > .envecho "CLAUDE_MODEL=claude-sonnet-4-20250514" >> .env
# Start containerdocker-compose up -d
# Check statusdocker ps | grep claude-vision

The container will auto-restart when Docker Desktop launches.

Docker Configuration

The server runs on http://localhost:8080/mcp with the following environment variables:

  • ANTHROPIC_API_KEY - Your Claude API key (required)
  • CLAUDE_MODEL - Model to use (default: claude-sonnet-4-20250514)

🔧 Usage in Cursor IDE

Docker Connection (Recommended)

Add to your ~/.cursor/mcp.json or .cursor/mcp.json:

json
{  "mcpServers": {    "Claude Deep Think": {      "url": "http://localhost:8080/mcp?apiKey=YOUR_API_KEY&model=claude-sonnet-4-5-20250929"    }  }}

Enable Proactive Thinking

Copy the .cursorrules file from this repo to your project root. This makes Cursor AI automatically use the think tool before writing code.

bash
# From your project directorycp claude-vision-mcp/.cursorrules .cursorrules

Tool Usage Pattern

Always use this pattern when new information arrives:

Use the claude_think tool to analyze: [NEW INFORMATION]
Context: [Current situation, tech stack, constraints]

Examples:

Error Message:

Use the claude_think tool to analyze:
Error: "TypeError: Cannot read property 'map' of undefined"
Context: React component rendering users from useState hook

New Feature:

Use the claude_think tool:
Requirement: Add dark mode toggle to header
Context: Next.js 14, need to check if ThemeContext exists

Performance Issue:

Use the claude_think tool:
Issue: Homepage renders 50+ times, parent causing all children to re-render
Context: useState for theme in Header, passed via props to 20+ children

📚 Examples

Example 1: Analyzing Technical Decisions

Use the claude_think tool to analyze:
"I'm building a real-time chat application. Should I use WebSockets, SSE, or HTTP polling?"
Context: Need to support 100K concurrent users, prioritize ease of implementation

Expected Output: Comprehensive comparison with pros, cons, and recommendations

Example 2: Architecture Planning

Use the claude_think tool to evaluate:
"What's the best way to structure a multi-tenant SaaS application?"
Context: PostgreSQL database, Node.js backend, 50-100 tenants expected

Example 3: Best Practices

Use the claude_think tool:
"Review this approach to handling user sessions in a Next.js app"
Context: Using JWT tokens, storing in localStorage, concerned about security

🛠️ Development

Project Structure

claude-vision-mcp/├── src/│   └── index.ts              # Main MCP server implementation├── .smithery/│   └── index.cjs            # Built server (generated)├── package.json              # Dependencies and scripts├── tsconfig.json            # TypeScript configuration├── smithery.yaml            # Smithery deployment config├── Dockerfile               # Docker container definition├── docker-compose.yml       # Docker Compose configuration└── README.md               # This file

Available Scripts

  • bun run build / npm run build - Compile TypeScript
  • bun run dev / npm run dev - Development server with hot reload

🔒 Security Best Practices

  1. Never commit API keys - Always use environment variables
  2. Use .gitignore - Ensure .env files are ignored
  3. Rotate keys regularly - Update API keys periodically
  4. Review tool calls - Keep manual approval enabled in Cursor
  5. Use development environments - Test with non-production data

📦 Docker Management

bash
# Start containerdocker-compose up -d
# View logsdocker logs claude-vision-mcp-server -f
# Restart containerdocker-compose restart
# Stop containerdocker-compose down
# Rebuild and restartdocker-compose up -d --build

🐛 Troubleshooting

Issue: Server not connecting in Cursor

Solutions:

  1. Verify Docker container is running: docker ps | grep claude-vision
  2. Check container logs: docker logs claude-vision-mcp-server
  3. Restart Cursor IDE completely
  4. Verify API key in URL is correct

Issue: API key errors

Solutions:

  1. Ensure key starts with sk-ant-
  2. Test key at: https://console.anthropic.com/
  3. Check environment variables in container
  4. Verify URL parameter format

Issue: Container won't start

Solutions:

bash
# Check logsdocker logs claude-vision-mcp-server
# Verify .env filecat .env
# Rebuild from scratchdocker-compose down -vdocker-compose up -d --build

💡 Performance

With Bun runtime:

  • ⚡ 4x faster package installs
  • ⚡ 3-4x faster script execution
  • 📦 Smaller Docker images
  • 🚀 Faster cold starts

📖 Comprehensive Guides

💡 Why This Workflow?

Without Think Tool:

1. User reports error2. AI writes quick fix3. Fix creates new bug4. Multiple iterations needed⏱️ Total: 30 minutes, 3 iterations

With Claude_Think Tool:

1. User reports error2. AI analyzes with claude_think tool (20s)3. AI writes comprehensive fix4. Works correctly first time⏱️ Total: 5 minutes, 1 iteration

Result: 6x faster, better quality, fewer bugs! 🎉

📄 License

MIT

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📞 Support

For issues or questions:

  • Open an issue on GitHub
  • Check the MCP Documentation
  • Read the workflow guides in this repository

🙏 Acknowledgments

來源:README.md,提交 9083e24

工具

0
SourceWeft 尚未讀取此伺服器的工具。

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

評分

已滿足適用檢查項的 75%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分

    請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。

  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分

    請在儲存庫或註冊中心條目中宣告授權條款。

其他 Smithery 整合