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PowerShell MCP Server

MCP Server

Execute PowerShell commands from Claude with ease

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Updated 14 days ago

About

A Model Context Protocol server that lets Claude and other LLMs run PowerShell commands, scripts, and perform system operations on Windows. It provides tools for execution, monitoring, file handling, and secure session management.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

PowerShell MCP Server

The PowerShell MCP server bridges the gap between conversational AI assistants and Windows system administration by exposing a rich set of PowerShell‑based tools through the Model Context Protocol. It allows Claude and other LLMs to run commands, scripts, and perform system‑level tasks directly on a Windows host, turning the assistant into a remote shell that can be queried in natural language. This capability is invaluable for developers, DevOps engineers, and system administrators who need to automate routine checks or troubleshoot issues without leaving the chat interface.

At its core, the server offers three categories of tools: PowerShell execution, system monitoring, and file operations. The PowerShell tools let users execute single commands, run entire script files with parameters, or create new scripts on the fly. System tools provide quick access to vital health metrics such as CPU and memory usage, service status, and disk space. File tools support directory listing, metadata retrieval, and recursive pattern searches—all with optional filtering to keep responses concise. By delegating these operations to PowerShell, the server inherits native Windows APIs and security boundaries, ensuring that only permitted actions are performed.

The design prioritizes safety and usability. A single‑command setup script automatically configures the server and integrates it with Claude Desktop, while recovery utilities protect existing configurations from accidental overwrite. Error handling is built into each tool; failures are reported back to the assistant in a structured format, allowing the LLM to surface clear diagnostics. Additionally, session management keeps track of long‑running scripts and ensures that resources are cleaned up when the assistant disconnects.

Typical use cases include automated system health checks, rapid deployment of PowerShell scripts for configuration drift remediation, and ad‑hoc file searches during incident response. For example, a developer can ask Claude to “Show me the top 10 processes by CPU usage” and receive an immediate, formatted list without opening PowerShell manually. In a CI/CD pipeline, the assistant could trigger a backup script and confirm completion before proceeding to the next stage. The server’s tight integration with MCP means these interactions are seamless, transparent, and can be orchestrated as part of larger AI‑driven workflows.

What sets this MCP server apart is its turnkey integration with Claude Desktop and the breadth of Windows‑specific tooling it exposes. It turns a conversational AI into a powerful administrative agent, reducing context switches and enabling rapid iteration on system‑level tasks—all while maintaining the security and reliability expected from native PowerShell execution.