"Information about Advertising" matching MCP servers:

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

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

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

Enables users to access local files, manage persistent notes via CRUD, fetch URLs, inspect system information, and analyze or transform text through MCP tools.

Enables Claude to query user-curated, dated memory entries stored locally, giving users direct control over what the AI remembers about them.

Provides a read-only semantic layer over an Obsidian vault, enabling queries about projects, decisions, tasks, and related notes.

Provides seamless integration with Capacities knowledge management system, allowing Claude to list spaces, retrieve space information, search content, save weblinks, and add content to daily notes.

A local MCP server that keeps one source of truth about capabilities, accomplishments, and positioning consistent with derived profiles, applications, and résumés, by registering decisions, checking consistency, and assembling materials for media-specific documents.

A Model Context Protocol server that enables AI assistants to search and access information stored in Kibela, supporting note search, retrieval, creation and updating.

Persistent memory server for MCP clients that lets AI assistants remember facts about users across sessions via a single markdown file, with tools to read, save, search, update, delete, and organize memory.

MCP server for Glanceway, the macOS menu bar information app, enabling AI assistants to read sources and items.

The MCP server transforms chats with Claude into journaling sessions, saving conversations locally and allowing the LLM to retrieve previous sessions to create continuity in discussions about daily activities.

Enables building and managing knowledge workspaces with tools for ingesting content from text, clipboard, or URLs and searching organized knowledge bases. Supports multiple configurable workspaces with separate inbox and knowledge directories for structured information management.

Enables MCP clients to read and manage entries, tags, annotations, search, configuration, and account information on a self-hosted read-later service, with write operations requiring explicit confirmation.

Enables users to create and save notes in Flomo directly through AI chat interactions using natural language commands. Seamlessly integrates with AI assistants like Claude and Cursor to capture thoughts and information.

Lets AI clients store, search, and summarize short notes about a codebase during a coding session.

An experimental MCP server that provides weather information tools, including temperature lookup via wttr.io, along with note-taking capabilities for learning MCP server development with GitHub Copilot.

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.

Enables AI apps like Claude, ChatGPT, Copilot, Claude Code and Codex to read and write a shared company wiki over MCP, where meetings, work sessions and notes become living pages about people, projects and decisions. It also serves search, briefs, transcripts, decisions and action items, and lets teams connect their own git-hosted team wiki.

Enables Claude to add and search personal memories through the Nowledge Mem service. Allows users to store and retrieve contextual information across conversations.

A Model Context Protocol server that allows Claude to create flashcards for Rember, helping users study and remember information through spaced repetition reviews.

Secure MCP server for querying Google NotebookLM notebooks. Enables AI assistants to list notebooks, read sources, and ask the NotebookLM AI questions about your sources.

Enables AI assistants to search recorded meetings, transcripts, and AI notes, retrieve recording details and share links, and manage recordings and team workspace information through a hosted OAuth-secured endpoint.

Enables AI assistants to query a user's recorded work sessions, notes, and browsing history, allowing them to resume tasks or answer questions about past work without re-explanation.

A self-hosted MCP server that lets a homeowner give sitters, dog walkers, and family short spoken pass codes so whoever is home can ask Alexa+ about notes, routines, and emergencies and hear only the parts they're allowed to. Unanswered questions are routed to the owner, who replies by voice, and the answer is saved as a shared note for next time.

Enables AI clients to locally store and share tasks, work activities, long-term memory, knowledge, and people information, while allowing users to review saved content and generate briefings or reports through a web UI.

Enables DSH characters to track and update their current mood, energy, activity, rest, growth notes, and things they care about, with persistent state and daily journal archiving.

A read-only MCP server that gives AI access to a local journal vault of transcribed handwritten diaries, offering tools to search entries, read them, and retrieve profile, timeline, and people information.

Provides tools for AI agents to manage long-term memories, daily notes, and TODO lists through a structured markdown file system. It enables context awareness by allowing agents to read, write, and search entries for persistent information storage.

An MCP server that utilizes Trello as a knowledge base for storing, searching, and retrieving code snippets and notes. It enables full CRUD operations and organized categorization of information using Trello boards and labels.

Provides Claude Code with deep access to an Obsidian vault through 28 tools for structural analysis, semantic retrieval, and git-backed timeseries tracking. It transforms your vault into a live knowledge base that Claude can search, navigate, and reason about using its knowledge graph.

MCP server for local-first RAG over Obsidian vaults, enabling AI agents to search and ask questions about notes with grounded citations.

MCP server for querying Google NotebookLM notebooks, enabling AI assistants to list notebooks, read sources, and ask questions about them.

Enables AI agents to keep and query long-term memory of past conversations, with hybrid keyword-plus-semantic search, session, day, week, month and year summaries, saved notes, and a running set of current facts about the user. Exposes this over MCP streamable HTTP through five tools so any client can retrieve context that would otherwise be lost between sessions.

An MCP server that gives AI agents persistent, file-based memory stored as plain markdown files in a local git repository, enabling agents to remember, recall, and build on information across sessions.

Compiles an Obsidian knowledge graph into a queryable MCP server, allowing AI agents to search concepts, get nodes, and retrieve related information.

Enables AI assistants to securely search and retrieve information from a user's encrypted Joplin notebook via vector memory and MCP.

Turns your Obsidian vault into an AI memory palace, enabling AI assistants to store knowledge with intent-based organization, retrieve information through full-text search, auto-link related notes, and query using Dataview syntax while maintaining provenance tracking.

Answers questions about a folder of markdown notes using hybrid retrieval that fuses FTS5 keyword search and vector search, then reranks results with a cross-encoder.

An MCP server that provides read-only access to the Paprika Recipe Manager, allowing users to list and retrieve recipes, grocery items, and meal plans. It enables seamless interaction with recipe details and category information through the Paprika API.