"Web Page Content" matching MCP servers:

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

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.

Enables rendering PDF pages to images and returning them directly as multimodal content for models, with controls for page ranges, resolution, and output dimensions.

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

A Model Context Protocol server that enables LLMs to retrieve web content and save it to local files for permanent storage and later access.

Invoice numberer stamps a correlative number (F-0001, F-0002…) on every page of each PDF invoice in a batch and writes numbered copies to a new folder. The originals are not modified. It runs on your computer as a local process and never uses the network. The LLM passes file paths, not contents, and gets back only the list of generated files. Same options as the web app, plus dry_run.

Memory-efficient MCP server for reading and splitting large PDF files page by page using PyMuPDF.

Enables LLMs to read and extract content from PDF files with high-fidelity LaTeX recognition and layout awareness using a Python-based extraction engine. It includes a robust Node.js fallback and supports page range filtering for efficient processing of large documents.

A local MCP server for reading and editing Word (.docx) documents with 33 tools for content, formatting, comments, page layout, and track changes, running locally via stdio.

A comprehensive tool server for reading, merging, and extracting content from PDF files via local paths or direct URLs. It enables metadata retrieval, regex searching, and page-specific text extraction with built-in caching and workspace-restricted security.

Enables MCP clients such as Claude and Cursor to control an isolated cloud machine with a real browser, shell, filesystem, and web access, so agents can navigate pages, click and type, run commands, manage files, and search or fetch web content.

Lets AI agents from any machine list, read, search, write, edit, move and link markdown pages and store files alongside them, all in a shared wiki. People can then see what the agents know through a web app showing the link graph, every page, and the history of who changed what.

Enables reading, searching, and metadata extraction from PDF files without loading the entire content into the context window. It provides efficient tools for text cleaning, page-specific extraction, and context-aware search results.

Enables AI agents to securely read and extract information from PDF files including text content, metadata, and page counts from both local files and URLs within the project context.

An MCP server that integrates with Claude Desktop for managing personal journal entries, providing both a web viewer for browsing journals and tools for adding, searching, and analyzing journal content.

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.

Converts various file types and web content to Markdown format. It provides a set of tools to transform PDFs, images, audio files, web pages, and more into easily readable and shareable Markdown text.

This MCP server enables AI agents to run a restricted set of Unix commands, manage files within a sandboxed working directory, apply patches, and fetch web content, providing controlled local automation without full shell access.

Enables comprehensive PDF operations including text/image manipulation, annotations, form fields, page merging/splitting/cropping, and metadata management using PyMuPDF.

Enables deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It utilizes EdgeOne Pages Functions and KV storage for high-performance edge delivery of web applications.

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 VS Code agents to work within a workspace by reading and editing files, searching, running commands and tests, managing Git, fetching web content, converting data, testing APIs, and inspecting system diagnostics.

An MCP server with RAG capabilities that provides AI clients secure access to local notes, documents, web pages, and task management tools for developer operational tasks. Features file operations, web scraping with content cleaning, and personal knowledge corpus search functionality.

Enables PDF manipulation including text, images, annotations, form fields, page operations, and metadata through natural language.

Provides HTML file preview and analysis capabilities. This server enables capturing full-page screenshots of local HTML files and analyzing their structure.

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 render document pages as images and retrieve document info (file type, page count) via tools like RenderPage and GetViewInfo.

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