A Model Context Protocol (MCP) server that exposes PowerShell cmdlets as tools for AI assistants like Claude or Github Copilot. Built with security
A Model Context Protocol (MCP) server that exposes PowerShell cmdlets as tools for AI assistants like Claude or Github Copilot. Built with security in mind through explicit whitelisting of allowed cmdlets. That is what the poshmcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
This MCP server dynamically loads PowerShell cmdlets from modules and scripts, automatically generating tool schemas from cmdlet documentation. Unlike traditional PowerShell remoting, this server uses a whitelist approach - only explicitly configured cmdlets are exposed, making it safer for AI interactions.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by cezarypiatek; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Poshmcp's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.