"Web scraping and content extraction" matching MCP servers:

An MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.

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

MCP server for summarizing content from Baidu Netdisk, local files, Bilibili, X, and web articles, producing Obsidian notes with bidirectional links and Feishu digests.

Enables ChatGPT web to use local tools like file reading, command execution, and patch application through an MCP server over OpenAI Secure MCP Tunnel.

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.

Enables ChatGPT to work with a local Windows development environment through MCP, including file and code operations, terminal commands, Git, browser and desktop automation, and task-specific skills. Also supports long-running task management and isolated account workspaces.

Local MCP server bridging ChatGPT Web to local tools for file, shell, git, test, and process management with secure policy controls.

Enables local code execution via Codex (Luna) through MCP, using ChatGPT Web conversations as a planner. Provides file, terminal, and code execution tools while keeping long-running jobs manageable.

Pluggable local agent capability hub that gives web-based DeepSeek local Agent capabilities (MCP/file operations/skills/desktop automation) and lets local agents reuse the same tools.

Enables clipping web pages to Markdown with local images, supporting CSS selectors and content analysis.

Enables ChatGPT to save conversation attachments, generated files, and images directly into a configured local macOS project directory with OAuth-secured MCP access.

Enables a browser-based AI assistant to read code, edit files, run tests, inspect failures, and keep task checkpoints on a local project.

MCP server for agentic-first PDF review of LaTeX papers, enabling commenting, compiling, and visual inspection via Claude Code.

Exposes an authenticated local runtime over OpenAI Tunnel so ChatGPT can inspect authorized Windows workspaces, read bounded Git status and diffs, submit and cancel Codex CLI tasks, and use workspace Skills. It also brokers connections to optional loopback stdio or HTTP MCP services, such as Stata and Zotero, with explicit tool allowlists and loopback-only access.

This MCP server lets an agent validate a local image's format, byte size, and pixel dimensions against published upload limits, and draft a cautious Basic or Pro enhancement plan from a blur description. It also surfaces the official site, pricing, and contact links, all without uploading or processing any image pixels.

A self-hosted OAuth MCP server that connects ChatGPT developer mode to an isolated coding workspace for listing and opening projects, reading and editing files, running shell commands, and observing or acting on terminal sessions.

Gives Claude and other MCP clients remote, authenticated read/write access to a personal Obsidian vault over HTTPS — reading and atomically writing markdown, parsing YAML frontmatter, running indexed frontmatter queries and full-text search — behind OAuth 2.0 login (or Cloudflare Access) and a Cloudflare Tunnel that never exposes the host directly to the internet.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

Enables a local AI assistant to search the web via DuckDuckGo, fetch and extract readable text from web pages, and save research notes as Markdown files to a chosen directory.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

A Model Context Protocol (MCP) server for ZeroDrive file management. It enables AI assistants like Claude to interact with ZeroDrive cloud storage through a standardized interface.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

Enables cloud AI agents to safely work on a Mac through MCP-style JSON-RPC by providing approval-gated command execution, jailed file access, signed requests, and a tamper-evident audit log. Risky actions require on-device approval, while files remain confined to a chosen folder with recoverable writes and deletions.

Enables AI assistants to securely inspect, search, edit, build, and test explicitly authorized local development projects over MCP, with sandboxed filesystem access and sensitive-file protection.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.

Provides sandboxed file operations, web scraping, data transformation, and authenticated HTTP requests with SSRF protection.

Enables tailoring resumes to job descriptions by scraping JDs, applying rules, and generating optimized DOCX resumes.

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