Huuthangntk Claude Vision Mcp Server

ai.smithery由 smithery.ai 发布官方发布者v1.0.0更新于 Oct 24, 2026

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

发布方自己的服务:222wcnm Bilistalkermcp

已验证Streamable HTTP可网页运行开发者工具AI 与机器学习

概览

AI 生成的概览

远程 MCP 服务器,把提示交给 Anthropic 的 Claude 做深度分析思考与图像分析,常用于写代码之前。

可以做什么
  • 对新信息(报错、需求、评审意见、架构问题)执行深度思考分析
  • 在动手写代码前给出洞察、替代方案与最佳实践建议
  • 从多个角度分析图片,提取详细洞察或快速摘要
  • 根据提示描述图像内容
适用场景
适合希望助手在开始写代码前先梳理问题、报错、设计决策或图片,并且愿意把这些内容交给 Anthropic 的 Claude 模型处理的场景。
运行要求
远程 streamable HTTP 端点;清单未声明认证,但 README 说明自建或 Docker 部署需要 Anthropic Claude API 密钥(ANTHROPIC_API_KEY)和可选的模型设置(CLAUDE_MODEL)。托管端点另需 Smithery 的 Bearer 令牌请求头。
安装前请注意
提示、代码片段和图片会发送到 Anthropic 的 Claude API,请勿提交机密内容。README 示例把 API 密钥放在 URL 查询参数中,可能泄漏到日志,建议改用环境变量。README 也建议保持工具调用的手动确认。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Huuthangntk Claude Vision Mcp Server,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.smithery%2Fhuuthangntk-claude-vision-mcp-server/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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

来源:README.md,提交 9083e24

工具

0
SourceWeft 尚未读取此服务器的工具。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

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