"Latest Breaking News and Hot Topics" matching MCP servers:

Enables AI to manage RSS subscriptions, fetch and summarize news, and organize results into tools like Notion.

Enables AI agents to read RSS/BlueSky feeds, clip and summarize articles, save to Obsidian, and post to BlueSky.

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

An MCP server that enables Claude to interact with Google NotebookLM via browser automation, allowing management of notebooks, adding sources, and querying information.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables an AI assistant to browse folders, search and read notes, create and edit them, and move notes between folders within an account. Runs locally through a supported MCP client and supports basic Markdown while refusing edits that would lose existing formatting.

MCP server for Ultrathink: save and search your knowledge base from Claude Desktop, Claude Code, and any MCP client.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Enables an LLM to keep a persistent scratchpad by adding and reading notes, retrieving the latest note as context, and generating summaries through MCP.

Enables AI assistants to save, search, read, update, and delete personal notes, summarize topics, and generate quizzes from saved notes through MCP tools, resources, and prompts.

Enables AI agents to build and interact with mind maps on mindmap.io. Agents can create, read, update, and delete maps and nodes, run prompts on nodes, and auto-expand topics into follow-up questions.

Scans markdown vaults to identify concepts mentioned but not defined, ranks gaps by priority, and generates research questions or random long-tail topics to fill knowledge gaps.

This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.

Connects Memlane, your personal library of saved links and notes, to AI assistants via MCP. Enables semantic search, browsing, saving URLs, and managing notes and topics.

An MCP server that enables users to generate structured XMind mind maps with hierarchical topics, notes, and labels through natural language. It features automatic file saving to the local Documents folder and can automatically open generated maps in the XMind application.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

Enables AI assistants to interact with a Nextcloud instance through its APIs, covering notes, calendars, contacts, files, decks, recipes, tables, shares, news, mail, collectives, talk, and shopping lists with full CRUD operations. Supports semantic search, document processing/OCR, and multi-user authentication via app passwords or Login Flow v2.

Enables AI agents to read and maintain a personal CRM as an Obsidian vault of plain Markdown notes, covering people, organizations, emails, meetings, tasks and topics with duplicate detection and source-backed facts. Runs entirely locally, with a SQLite index derived from the notes so lookups stay fast while the vault remains the source of truth.

Lets Claude Code and Claude Desktop retrieve and explore an Obsidian vault through tools for semantic search, reading notes, following graph neighbors, and listing topics.

It provides a local stdio connector for searching and reading an authorized notebook, preparing and applying page edits, and undoing the latest edit through native encrypted storage. It also supports one-use fictional authentication against a loopback fixture while keeping raw secrets out of model-visible tool results.

Auto-extracts entities and relationships from natural conversations to build a personal knowledge graph. Provides MCP tools for storing and querying people, organizations, topics, and interactions.

Enables an AI client to turn up to 20,000 characters of messy personal notes into a one-page, four-section prep agenda for an upcoming therapy session, organizing events, topics, possible discussion points and reminders, with human-written crisis resources flagged when imminent danger is mentioned. It organizes and does not provide therapy, diagnosis, or medical advice.

Enables AI agents to capture, classify, promote, synthesize, and retrieve persistent knowledge from sources such as Obsidian vaults, code repos, YouTube transcripts, bookmarks, terminal sessions, and bug fixes. Exposes tiered cold/warm/hot memory with token-optimized search, context briefings, and cross-source synthesis so multiple agents share one compounding brain across sessions.

A proof-of-concept MCP server for AI assistant note-taking, enabling adding notes, fetching the latest note, and summarizing all notes.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Exposes 17 tools for adding, searching, maintaining, evaluating, and exporting notes in an Obsidian-based knowledge vault, plus commands to capture session knowledge and research topics into it. Works with Claude Code, Codex, and any other MCP client.

Logs study questions, tags them by topic, detects repeated confusions, and ranks the topics a learner is most unclear on; also retrieves answers from personal notes with citations via local RAG.