"F-Droid" matching MCP servers:

Enables localized file system operations such as listing, reading, editing, creating, deleting, and searching files, scoped to the directory where the server is invoked.

Enables LLM clients to safely perform file operations such as create, read, edit, delete, move, copy, and more, with every path checked against an explicit permission database managed through a desktop GUI.

Provides Claude with safe read/write access to Obsidian vaults, with YAML frontmatter protection and path filtering to prevent corruption.

Enables AI agents on Windows to read, write, copy, move, and delete files inside WSL distributions, run shell commands in a login shell, and convert between Windows and Linux path styles. Commands are piped to bash -s via stdin so quotes, $, backticks, and other special characters pass through without Windows shell escaping errors.

Gives Analysis Facility users read-only browse, read, stat, and grep access to their own files on shared NFS home and Ceph data areas, with kernel-enforced per-user permissions.

A small filesystem MCP server that reads and writes files under one confined root over stdio, with paginated tools and strict change-detection. It enables safe, deterministic file access for agentic runtimes and MCP clients.

A tuned filesystem MCP server for Codex-style development, offering fast file operations, bounded output, and safe edits.

Provides batch file operations, search, and essential git workflows via stdio MCP.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

A Model Context Protocol server that provides intelligent file reading and semantic search capabilities across multiple document formats with security-first access controls.

Enables ChatGPT, Claude, and other web MCP clients to access and operate multiple VS Code workspaces through tools such as read, bash, edit, write, and workspace_info, with per-workspace tokens and role-based permissions.

Hosted filesystem MCP server over HTTP with auth. Enables reading, writing, editing, searching, and listing files via MCP tools like grep, glob, and tree.

Enables users to index local Markdown articles and then search, filter, list, and retrieve them through MCP tools while keeping all content on the local machine.

Enables people and AI to read the same PDFs, arXiv papers, and GitHub documentation/code together by preserving source identity, page or line locations, and selected text so the current chat can explain the material in context.

Ultra-fast, memory-efficient Rust implementation of the Filesystem MCP server with bounded IO, regex search, and optional terminal execution.

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

Enables secure filesystem operations with directory sandboxing and optional read-only mode. Supports file reading/writing, directory management, file searching, and text operations while restricting access to specified directories.

Enables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.

Coherence guard for shared files: when two agents write the same file, the stale writer is denied instead of silently overwriting, then reacquires and retries. Single-host, TLA+-verified.