"Studying MCP using Google Search" matching MCP servers:

Enables AI agents to read and edit Google Keep notes, lists, labels, collaborators, and media across multiple Google accounts using 24 tools.

Enables natural-language semantic search over your own local files through an MCP server, fully offline without API keys or a server daemon, with optional LLM-grounded answers and exact file:line sources.

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

Exposes Google Keep notes as tools so MCP clients like Claude Code or Claude Desktop can read and manage them, connecting through the unofficial gkeepapi client since Keep has no official public API.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

Enables MCP clients to search, browse, read, and manage IMA knowledge base content, including notes, web imports, and file uploads, using the official IMA OpenAPI.

Enables AI assistants to search and edit Apple Notes on macOS using semantic search, with safe write operations and full local indexing.

Provides semantic search and knowledge graph capabilities for Obsidian vaults using Smart Connections embeddings.

Read-only semantic retrieval for agents that need to find the right Obsidian note without write access.

MCP server for Google Keep that enables managing notes, checklists, and labels through tools like search, create, update, and delete.

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

Enables AI-powered management of Google Keep notes, including search, create, update, delete, archive, and label operations.

A pure-TypeScript MCP server for Google NotebookLM using the batchexecute RPC protocol. Enables management of notebooks, sources, chat, and artifact generation with no Python dependencies.

Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.

A Model Context Protocol server that connects Google Keep to Claude, enabling full note management capabilities including search, CRUD, checklists, labels, and more.

Enables local hybrid search over Obsidian and Markdown vaults via MCP, combining vector retrieval, full-text search, reranking, graph navigation, and safe CRUD while keeping data local.

This is an MCP server that enables agents to record, search, and retrieve memos using LowDB as a lightweight local database.

Enables interaction with Google Keep notes through an MCP server, allowing users to search, create, update, and delete notes via natural language commands.

Enables MCP clients to enumerate, read, search, create, edit, and delete Microsoft Loop workspaces and pages using markdown content.

Enables AI agents to navigate, search, and rank notes in an Obsidian vault using graph relationships, providing context-aware access to knowledge without exposing raw file contents.