
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
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
在 SourceWeft 中
- 打开 控制台中的 Huuthangntk Claude Vision Mcp Server,将其添加到工作区。
- 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。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
2. Configuration
The API key is configured when connecting to the MCP server (see Docker or Cursor setup below).
3. Build
🐳 Docker Setup (Recommended)
Quick Start
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:
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.
Tool Usage Pattern
Always use this pattern when new information arrives:
Examples:
Error Message:
New Feature:
Performance Issue:
📚 Examples
Example 1: Analyzing Technical Decisions
Expected Output: Comprehensive comparison with pros, cons, and recommendations
Example 2: Architecture Planning
Example 3: Best Practices
🛠️ Development
Project Structure
Available Scripts
bun run build/npm run build- Compile TypeScriptbun run dev/npm run dev- Development server with hot reload
🔒 Security Best Practices
- Never commit API keys - Always use environment variables
- Use .gitignore - Ensure
.envfiles are ignored - Rotate keys regularly - Update API keys periodically
- Review tool calls - Keep manual approval enabled in Cursor
- Use development environments - Test with non-production data
📦 Docker Management
🐛 Troubleshooting
Issue: Server not connecting in Cursor
Solutions:
- Verify Docker container is running:
docker ps | grep claude-vision - Check container logs:
docker logs claude-vision-mcp-server - Restart Cursor IDE completely
- Verify API key in URL is correct
Issue: API key errors
Solutions:
- Ensure key starts with
sk-ant- - Test key at: https://console.anthropic.com/
- Check environment variables in container
- Verify URL parameter format
Issue: Container won't start
Solutions:
💡 Performance
With Bun runtime:
- ⚡ 4x faster package installs
- ⚡ 3-4x faster script execution
- 📦 Smaller Docker images
- 🚀 Faster cold starts
📖 Comprehensive Guides
- PROACTIVE_THINKING_WORKFLOW.md - Complete workflow guide with before/after examples
- THINK_TOOL_EXAMPLES.md - 10 real-world usage examples
- .cursorrules - Cursor IDE rules for automatic think-before-code pattern
💡 Why This Workflow?
Without Think Tool:
With Claude_Think Tool:
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
- Built with Anthropic Claude API
- Powered by Model Context Protocol
- Containerized with Bun
来源:README.md,提交 9083e24
工具
0版本历史
1- v1.0.0最新Sep 16, 2026
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