"Understanding File Usage" matching MCP servers:

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

A sophisticated MCP server providing powerful file search capabilities including single file search, recursive directory search, and file information retrieval.

Enables listing, reading, and searching local files and directories through MCP tools.

Enables fast file search on macOS using the native mdfind (Spotlight) command, with support for filtering, regex, sorting, and limiting results.

A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.

Provides tools to check disk usage and search files by keyword on the local system.

A MCP server that allows searching for files in the filesystem based on path fragments, returning file metadata including name, path, size, and creation date.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.

Enables searching for files based on creation or modification timestamps within restricted root directories. It supports glob pattern matching, time range filtering, and pagination for efficient file discovery.

An MCP server that enables file system search and inspection, including directory listing, regex-based file name and content searches, and reading text, PDF, and DOCX files.

Enables local ChatGPT/OpenAI MCP clients to read files and search within explicitly authorized directories using read-only, policy-constrained tools.

Provides tools for searching and reading local files, supporting metadata filters, PDF full-text keyword search, and sandboxed file access.

Manages LinkedIn prospecting CSV files with deduplication and search, reducing LLM token usage by offloading file operations.

Provides file system access for resume matching through JSON-RPC, enabling semantic search and workflow orchestration with LangGraph.

A file organization MCP server that safely categorizes and manages files in allowed directories by type, with search and analysis capabilities.

Enables intelligent file searching in local directories using natural language queries. Supports searching by file type, filename patterns, and content across multiple formats including PDF, Word, Excel, and text files with AI-powered relevance scoring.

Enables semantic search over personal files using natural language, with optional AI summarization, all running locally.

Search local file contents recursively with keyword matching

Enables natural language analysis of Azure usage data from CSV files, providing cost summaries, visualizations, and insights about service and regional spending patterns.