Development · MODEL CONTEXT PROTOCOL

SDGLBL mcp claude code

MCP implementation of Claude Code capabilities and more

WHAT IT CONNECTS

What SDGLBL mcp claude code gives an AI Agent

  • **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

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.