"Tools and methods for extracting HTML content from websites" matching MCP servers:

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

Enables converting Markdown text into clean HTML for headings, lists, code blocks, tables, links, and images, with optional full-document wrapping via x402 micropayments.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Content Registry - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables comprehensive content management through Markdown processing, HTML rendering, intelligent fuzzy search, and document analysis. Supports frontmatter parsing, tag-based filtering, table of contents generation, and directory statistics for efficient content organization and discovery.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

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.

An MCP server that enables users to read, search, and analyze PDF documents. It provides tools for extracting text, viewing metadata, searching content with context, and generating word statistics.

Provides documentation generation and analysis tools for AI agents, including JSDoc generation, README analysis, changelog generation, API documentation, and code comment analysis.

Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.

An MCP server that provides tools for analyzing, linting, formatting, and generating Markdown content. It enables users to programmatically manage Markdown files through features like table of contents generation, statistics calculation, and JSON-to-table conversion.

lark-tools-mcp connects Lark and cursor. It provides cursor with the ability to read documents, send messages, process tasks, and perform data analysis.

HTML Slide Studio MCP server enables agents to create, read, update, validate, and export Marp Markdown presentation decks, including asset management and secure offline HTML export with path traversal and symlink protections.

pdf-tools-mcp

Enables comprehensive content analysis through web scraping, document processing (PDF, DOCX, TXT, RTF), screenshot analysis, and local Excel database management. Provides intelligent workflows for extracting, analyzing, and storing content from multiple sources with automated categorization and search capabilities.

Integrates AI into software development workflows by providing three MCP tools: code review checklists, conventional commit message generation, and API documentation formatting from docstrings. Connects to Claude Desktop and any MCP-compatible client.

Enables validation and retrieval of metadata from Markdown files in the Subordinación y Valor project. Validates metadata against project specifications and extracts structured metadata from Markdown documents.

Read-only MCP server for a content contract layer: protocol, modules, pipelines, assets, library. 一句话 / One-liner（ZH）：给任何 AI agent 一个可校验的内容规范与资产底座——先查契约，再落笔。 描述 / Description：只读 MCP 服务器：把长内容的验收标准（协议 / 模块 / 管线 / 资产 / 馆藏）变成 agent 可调用的检索与取件工具面。10 个只读工具 + 1 个 prompt（assemble_guide）；支持 modern 2026-07-28 与 legacy 2025-11-25 双协议；零第三方依赖（Python 标准库）；无写路径。 仓库 / Repo：https://github.com/Monyeah777/NinFenz 站点