"A guide for creating images" matching MCP servers:

Enables sandbox-less frontends such as mobile apps to reach the WeRead official gateway over Streamable HTTP by supplying only a URL and an access token, with no local process required. Exposes 14 read-only tools covering search, shelf, notebooks, reading progress and statistics, highlights, public reviews, and recommendations, plus a token-protected dashboard for shelf, notes, and shared-reading annotations.

Enables AI agents to create and interact with ASCII-based Zen gardens through tools for raking sand, placing stones, and practicing digital meditation. It provides resources for random Zen koans and generates meditation guides based on the current garden state.

Enables creating meeting minutes from unstructured meeting memos with validation, grounding checks, and user-approved saving.

Enables AI assistants to interact with local Obsidian vaults through direct filesystem access for reading, creating, and managing notes. It features high-performance SQLite indexing for fast searches, regex support, and tools for organizing tags and links without requiring additional plugins.

Enables AI assistants to manage Anki flashcard collections by creating, searching, and updating cards through a standardized interface. It supports media handling, batch operations, and review scheduling via the AnkiConnect add-on.

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

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.

A Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.

Enables Claude to control the AI Coach desktop pet, making the mascot react to the conversation, accept care, show messages, act out activities, preview local files, and manage user memos.

Lets Claude read handwriting from Viwoods AiPaper Paper-app notebooks over adb, returning pages as images with optional handwriting search and PDF import. A folder allow/deny policy decides exactly which notebooks are visible, so nothing unshared exists as far as the client can tell.

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 MCP hosts to access and manage a Lipi vault, including creating, reading, updating, renaming, deleting, and searching notes with romanized Devanagari search.

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

MCP server for MindNode that lets AI agents read mind maps as Markdown outlines and view rendered previews. It also supports creating new mind maps from outlines and opening maps in the app.

Self-hosted MCP server for Obsidian with semantic + full-text search over PostgreSQL/pgvector, wikilink graph traversal, atomic note CRUD, OAuth 2.0, and a self-describing vault guide.

MCP server that connects AI tools to Microsoft OneNote for Business via the Microsoft Graph API, enabling listing, creating, and updating notebooks, sections, and pages.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

Integrates with the Obsidian Local REST API to enable reading, creating, editing, and searching notes within an Obsidian vault. It supports advanced operations like Dataview queries and partial file updates through both stdio and HTTP transport modes.

Enables AI assistants to interact with a local folder of Markdown notes, supporting listing, reading, searching, creating, and appending to notes with strict security boundaries.

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.