"Methods for Categorizing Images" matching MCP servers:

Enables saving X (Twitter) Articles as Obsidian-faithful Markdown files with locally downloaded images and videos.

Read-only access to Samsung Notes for AI assistants: typed text, tables, handwriting as page images, and attached photos and PDFs, from Samsung Notes for Windows or exported .sdocx files.

Enables AI assistants to read Tic lists, tasks, and task images through read-only database queries.

Enables Claude to browse, search, read, write, and export Microsoft OneNote content through Microsoft Graph, including viewing high-resolution screenshots/images, collecting pages for reports, and writing reports back to notebooks or sections.

Enables Claude to browse, search, and read Microsoft OneNote notebooks and pages as clean markdown, including viewing screenshots and images at high resolution or zoomed into regions. It also lets users collect pages into reports and write, append, or edit pages, sections, and notebooks, and export original-resolution images and attachments locally.

Enables AI agents to search, create, and manage Notion pages and databases through the Model Context Protocol. It features file-based operations and response extraction to optimize token usage and context efficiency.

MCP server to interact with Obsidian via the Local REST API community plugin.

Interacts with LogSeq via its API.

A TypeScript-based MCP server that implements a simple notes system, allowing creation and management of text notes with URIs and metadata.

Enables interaction with macOS system features including file dialogs, clipboard management, Finder integration, and system notifications. It also provides tools for taking screenshots, processing images, managing PDFs, and interacting with the Apple Notes app.

Enables uploading images and files to Notion pages from Cursor chat, supporting multiple attachment types like image blocks, file blocks, cover images, and icons.

A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.

Enables local agents to search and retrieve cited evidence from PDFs and Markdown notes, including page-specific passages and rendered page images.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of notes via Claude Desktop integration.

Gives MCP-capable agents programmatic control over an Obsidian-based Atlas VTT tabletop setup: browsing token and map libraries, revealing images on the player window, reading and safely changing settings, running allow-listed commands, and querying the live Fantasy Statblocks bestiary. Everything runs locally over the Local REST API's MCP endpoint with bearer-key authentication.

Enables Claude clients to add and edit Anki cards, including German vocabulary with pronunciation and images, and sync the collection via AnkiWeb.

Enables Claude to search and analyze Obsidian vault content using ripgrep with support for wiki links, backlinks, frontmatter properties, orphaned notes, and intelligent context detection showing which heading or property contains each match.

Enables Claude Code CLI to interact with Obsidian by reading selections, opening files, showing diffs, and running an embedded terminal.

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.

An MCP server for managing LifeOS Obsidian vaults, enabling AI assistants to create, read, and search notes with YAML compliance and organizational standards.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

Read-only stdio MCP server that allows AI clients to list, search, and retrieve pins and images from a local desktop pinboard.

Connects to Microsoft OneNote desktop via COM API, exposing 27 tools for hierarchy, page CRUD, search, rich content, export, health checks, and more. Enables natural-language control of OneNote without API keys or embedded AI providers.

Enables Markdown-native reading and writing of Microsoft OneNote content through the Graph API, with tools for managing notebooks, sections, pages, tables, check boxes, equations, images, search, and authentication.

Enables AI agents to manage buckets and files, upload binaries through single-use URLs, create and revoke public links, preview images, and search indexed markdown notes.

Enables MCP clients to search and read Notability notes, including handwritten pages via OCR-based fuzzy search and page images rendered as PNGs. Runs entirely against a local synced index, so queries never touch the network.

Enables AI clients to search, read, and write native Markdown notes in Yinxiang (Evernote China), as well as batch backup local folders into notes with attachments and inline images.

A Model Context Protocol (MCP) server for interacting with TriliumNext via its ETAPI. Enables LLMs to create, read, update, and organize notes, including embedding images and files directly into note content.

Enables AI agents to build and manage local-first graph maps of .onion links and Markdown posts, including nodes, documents with images, connections, search, autolayout, and import/export through 32 tools.

Provides a durable, Obsidian-compatible knowledge base for agents using markdown notes and wikilinks. Enables agents to store, retrieve, and interlink knowledge persistently, with tools for writing, searching, and managing a graph of notes.