"Using OpenAI to Generate Images" matching MCP servers:

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

Stores journal entries locally with semantic search using multilingual embeddings, and optionally syncs to a Git remote.

Transforms Kindle highlight exports into structured personal memory summaries saved to Notion. Parses HTML and text files to generate book insights including themes, key ideas, and actionable takeaways using the host model's context window without external AI API calls.

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

Enables AI assistants to save encrypted notes to a mindpad account using natural language, with support for tags and end-to-end privacy.

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

A Model Context Protocol server that wraps the official Obsidian CLI to allow AI agents to read, write, search, and manage notes within an Obsidian vault. It provides 16 specialized tools for comprehensive vault interaction, including note management, task tracking, and metadata manipulation.

Enables interaction with Google's NotebookLM via the Model Context Protocol to manage notebooks, sources, and research tasks. Users can create, query, and summarize content, as well as generate artifacts like audio overviews and slide decks using natural language.

Converts XMind mind map files into structured Markdown documents, preserving hierarchy and optionally including metadata.

Enables interaction with Google's NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Drive, perform AI-powered research and analysis, and generate audio overviews, videos, infographics, and slide decks from research content.

Enables interaction with Google NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Google Drive, perform AI-powered research and analysis, generate audio podcasts, videos, infographics, and slide decks from notebook content.

An unofficial MCP server for Google NotebookLM that enables users to manage notebooks, add sources, ask questions with citations, and generate audio podcasts via a Playwright-based automation layer.

Enables AI assistants to generate interactive mind maps from text, YouTube videos, and web content using Mapify's API.

Provides programmatic access to Google NotebookLM through the Model Context Protocol, enabling AI assistants to manage notebooks, add sources, generate audio and video content, and perform research tasks.

Enables Claude to read and propose updates to your Obsidian vault using your Claude subscription, keeping files local.

A server that enables AI assistants to access and manipulate Joplin notes through the Model Context Protocol, allowing search, reading, editing, and management of notes using natural language.

Transcribes meeting recordings with speaker diarization and automatic speaker identification, leveraging project context to generate minutes. Supports various ASR engines and offers privacy-preserving local processing.

Enables AI assistants to search and retrieve content from local Markdown notes using term-frequency scoring.

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