About
MCPShell bridges Large Language Models and command-line tools, enabling secure execution through the Model Context Protocol. It allows defining tools in YAML with parameter constraints and output formatting, providing a secure bridge between LLMs and operating system commands, allowing LLMs to leverage shell scripts. With features like flexible command execution, configuration-based tool definitions, robust error handling, and simple integration, it allows the creation of specialized AI assistants that can autonomously perform system tasks.
Key Features
- Validate tool parameters using CEL expressions.
- 9 GitHub stars
- Define tools in YAML with parameters, constraints, and output formatting.
- Integrates with any LLM client supporting the MCP protocol.
- Run shell commands as MCP tools with parameter substitution through templates.
- Supports sandboxed environments for running commands.
Use Cases
- Analyzing disk usage.
- Interacting with Kubernetes clusters using kubectl.
- Executing AWS CLI commands.
