"Files" matching MCP servers:

Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere with tools for reading code blocks, searching/replacing text, and making precise line-based modifications.

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

Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.

Enables read-only listing and reading of files in an Azure Files SMB share, enforcing each user's NTFS permissions per request.

Provides safe local file operations through MCP, including reading, writing, searching, organizing, and protected deletion with configurable path restrictions.

Provides safe, allowlisted local filesystem access for MCP-compatible AI clients, enabling directory listing, file reading/writing (with byte limits), and text search while blocking paths outside approved roots and symlink escapes.

A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.

Filesystem MCP server for AI assistants. Search, read, edit, and manage local files in directories you choose.

A Model Context Protocol server that provides AI agents with secure access to local filesystem operations, enabling reading, writing, and managing files through a standardized interface.

Enables reading, creating, and editing files on the local filesystem through operations like view, create, string replacement, and line insertion.

Enables users to search files and directories through an MCP interface.

Provides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.

Enables reading, writing, editing, searching, and organizing files and directories within allowed root directories, with every tool result size-capped and large text files returned in paged windows instead of all at once. Media reads are rejected above a configurable byte limit, keeping responses bounded while preserving the usual filesystem tool set.

A TypeScript tool that ranks files in your codebase by importance, tracks dependencies, and provides file summaries to help understand code structure through Cursor's Model Context Protocol.

An MCP server for Filestack that lets AI assistants upload, transform, convert, analyze, and manage files through the Filestack API. Supports file workflows directly from MCP-compatible clients.

Provides a hardened filesystem interface that lets a local model read and write files only within user-specified directories, with symlink protection and atomic operations.

Enables file system operations such as listing directories, reading, writing, creating, and deleting files or directories through MCP.

A Node.js MCP server for filesystem operations with support for custom ignore files (like .gitignore) to protect sensitive data from AI agents.

Enables AI agents to store files or JSON and share them with humans or other agents via signed links or password-protected addresses, with paid-per-call USDC settlement.

Provides file system operations (list, read, write, search) via MCP, enabling an AI agent to manage files through natural language.