Provides file search functionality within filesystems, returning detailed metadata for discovered files based on path fragments.
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A reimagined MCP server for filesystem access, featuring privacy-preserving path aliases and an optimized LLM-friendly API.
A Model Context Protocol (MCP) server that enables large language models (LLMs) to read, search, and analyze code files with advanced caching and real-time file watching capabilities. Highly relevant as a core MCP server.
An MCP server for local file and directory management, pattern matching, and workflow automation via AI. Essential for automating file operations in development environments.
A comprehensive MCP (Model Context Protocol) server for file system operations, providing AI assistants with access to local files and directories.
An MCP server allowing AI assistants to perform filesystem operations like reading, writing, listing, moving files, and searching directories within allowed paths. Multiple implementations exist in different languages, all providing secure, controlled access to local filesystems via MCP.
A powerful MCP server for file searching with wildcard patterns, attribute filtering, and content searching across directories, returning detailed file information.
File Finder Mcp is a Model Context Protocol (MCP) server written in Python that provides file search functionality within filesystems. It searches for files based on path fragments and returns detailed metadata for the discovered files in JSON format. It is designed to integrate with the Cline tool in VSCode, allowing users to search files efficiently within their development environment.
file-management-mcp-servers
mcp, file-search, file-management, ai-assistant
File Finder Mcp is open source and available for free under the MIT license.