"Inappropriate or harmful content" matching MCP servers:

An MCP server for local PDF inspection that classifies, searches, extracts text and tables without uploading documents or relying on OCR, surfacing reliability warnings for garbled or scanned content.

An MCP server for precise, hash-referenced file editing that enables atomic edits using line:hash references instead of fragile line numbers or full content reproduction.

Publish content (HTML, files, or URLs) and get a permanent public URL from any MCP-compatible agent, with local and remote connection options.

An MCP server that enables LLMs to convert HWP and HWPX documents into Markdown for analysis and processing. It supports document conversion via local file paths or Base64 content across various MCP-compatible clients.

Enables AI agents to read, write, append, and delete content in Markdown files using structural selectors, without regex or string hacking.

Enables loading, reviewing, and redacting sensitive content in PDF documents through text-based or area-based redaction methods. Supports customizable redaction appearance and saves redacted PDFs with comprehensive error handling.

Enables AI assistants to discover nearby devices over local Wi-Fi/LAN and directly send or receive files, text, and clipboard content using the LocalSend protocol.

Enables an LLM agent to search files, list directories, read and write UTF-8 text files, move or delete paths, list terminal processes, and launch a terminal in a chosen folder.

Provides LLMs with secure, read-only access to local documentation by scanning directories, extracting content from PDF, DOCX, Markdown, and text files, and performing keyword searches.

Enables PDF generation from HTML, text, and Markdown content with customizable formatting options. Provides secure cross-platform PDF creation tools that automatically save to user directories like Downloads, Documents, or Desktop.

Enables direct access to raw Markdown content from files or directories without processing. Perfect for providing AI models with business rules, documentation, or knowledge bases exactly as written.

An MCP server that provides access to project files and their contents, allowing users to retrieve file data from specified project directories with error handling and configuration options.

Intelligent PDF processing server that automatically detects PDF types (text or scanned), extracts text, performs OCR recognition in 10 languages, searches content with regex support, and retrieves metadata through the Model Context Protocol.

Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.

Generates PDF documents from HTML or Markdown content with customizable page size, margins, and orientation, supporting pay-per-call payments via x402.

A unified context layer that connects your local data — repositories, documents, remote machines, and notes — to LLM interfaces through the Model Context Protocol (MCP).

Enables AI agents to save public articles, papers, images, videos, podcasts, and subtitles as local files, with support for multiple sources and output formats.

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

A simple MCP server for local documentation with RAG capabilities, enabling AI assistants to access and search local documents.

A native Nextcloud app that exposes the instance as an MCP server so Claude and other MCP clients can read, search, and (with admin-granted permissions) edit files, notes, calendars, Deck cards, and Talk conversations. It runs inside Nextcloud with OAuth or app-password sign-in, applying each user's own Nextcloud permissions and admin-controlled per-operation grants.