Development · MODEL CONTEXT PROTOCOL
SDGLBL mcp claude code
MCP implementation of Claude Code capabilities and more
WHAT IT CONNECTS
SDGLBL mcp claude code 为 AI Agent 提供什么
- **Code Understanding**: Analyze and understand codebases through file access and pattern searching
- **Code Modification**: Make targeted edits to files with proper permission handling
- **Enhanced Command Execution**: Run commands and scripts in various languages with improved error handling and shell support
- **File Operations**: Manage files with proper security controls through shell commands
- **Code Discovery**: Find relevant files and code patterns across your project with high-performance searching
- **Agent Delegation**: Delegate complex tasks to specialized sub-agents that can work concurrently
- **Multiple LLM Provider Support**: Configure any LiteLLM-compatible model for agent operations
- **Jupyter Notebook Support**: Read and edit Jupyter notebooks with full cell and output handling
- Permission prompts for file modifications and command execution
- Restricted access to specified directories only
- Input validation and sanitization
- Proper error handling and reporting
- Fork the repository
- Create a feature branch (`git checkout -b feature/amazing-feature`)
- Commit your changes (`git commit -m 'Add some amazing feature'`)
- Push to the branch (`git push origin feature/amazing-feature`)
- Open a Pull Request
SECURITY
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。