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Enable AI agents to search Windows files instantly with Everything indexing.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Everything File Search" MCP server from askskill: Run: claude mcp add 'io-github-elis132-everything-mcp' -- npx -y everything-mcp
Search my Windows computer for files with “Q3 budget” in the filename and the xlsx extension, then return the full paths.
A list of matching full file paths so the user can open or process them next.
Find files with “export” or “report” in the filename and identify the one most likely created today.
Return candidate file paths and highlight the most relevant recent file.
Search drive D for all PDF files with “invoice” in the filename and compile a path list for downstream automation.
A structured list of file paths ready for scripts or AI workflows.
Developers or office workers can let an AI agent search local files directly to locate documents, spreadsheets, or exported outputs. It fits workflows where local files need to be connected to AI tasks.
When users need to search large numbers of Windows files frequently, this tool uses Everything’s real-time NTFS index for very fast lookup. It is better suited than manual folder browsing for high-frequency search tasks.
It is an MCP tool that lets AI agents perform very fast file searches on Windows. Its capability is based on voidtools Everything’s real-time NTFS index.
Based on the description, it targets Windows file search and depends on voidtools Everything’s real-time NTFS index. For exact installation and runtime requirements, see the source repository.
It emphasizes lightning-fast search through Everything’s real-time NTFS index and is callable by AI agents. In other words, it is not only fast but also suited for AI-driven automation workflows.
Connect Everything Search to Claude Code for ultra-fast file discovery.
Find files and folders across Windows projects in milliseconds.
Search Windows files and folders fast with Everything syntax and status checks.
Search project docs semantically to find relevant files before coding changes.
Let AI index and search local and online sources inside your IDE.
Search, fetch, scan, and convert AI instruction files with provenance.