"How to scrape web 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 writing text content to Markdown files with folder organization and overwrite control, and listing recent Markdown files.

Provides read-only access to an Obsidian vault, enabling file listing, content reading, and text search across notes via MCP.

Connects to Obsidian vaults via the Local REST API plugin, enabling AI-assisted Zettelkasten workflows including creating atomic notes, searching content, managing links and tags, and performing precise content editing operations.

Enables local scanning of markdown note folders to assess them against Open Knowledge Format v0.2 and ISO frontmatter tiers (Bronze/Silver/Gold), with no content leaving the machine.

Turns plain text or Markdown, web pages, and local PDFs into editable Markdown outlines that can be rendered as standalone, offline-capable interactive HTML mind maps. Works with any MCP client with no API key required, since the connected model writes the final outline from a draft and cleaned source text.

A dedicated MCP (Model Context Protocol) server for recording and organizing conversation content, providing templated recording functionality.

MCP server that connects Claude to Bucket, enabling semantic search, browsing, reading, and downloading of saved content like Instagram reels, TikToks, tweets, YouTube videos, and notes, plus saving new URLs into the user's Bucket.

Connects Claude Desktop to Notion and YouTube transcripts with one-click installation, enabling natural language queries about your pages and video content.

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

Provides AI agents with per-project note organization inside a single Obsidian vault, enabling them to resolve, write, read, append, list, and search notes without overwriting existing content.

Give your AI persistent, structured memory and let humans see it too. It stores project knowledge as Markdown files in a hierarchical tree, accessible via MCP tools and a built-in Web UI.

A Model Context Protocol server that enables AI agents to interact with local Logseq knowledge graphs, supporting operations like creating/editing pages and blocks, searching content, and managing journal entries.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

MCP server that provides read access to Microsoft Loop workspaces and pages by reusing your Loop web session, enabling listing, reading, and searching across Loop content without app registration.

Private tooling to stage ChatGPT conversations into reviewable Homebase markdown and Notion drafts with redaction and classification.

Enables MCP clients to search, browse, read, and manage IMA knowledge base content, including notes, web imports, and file uploads, using the official IMA OpenAPI.

Enables reading, creating, updating, and appending content to Yandex Wiki pages via MCP. Supports both read-write and read-only modes.

Enables AI clients to inspect, read, and propose page edits in Planist workspaces over MCP. Supports listing pages, fetching structured content, and submitting edit proposals for review.

Enables Claude clients to access notes, guidance, projects, and search from a knowledge library, with explicit-save write tools for creating, updating, and appending content only when the user approves.