"Google Apps Script" matching MCP servers:

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

Manages a Neo4j knowledge graph of reusable Python functions, documentation, and environment variables, enabling dynamic script composition and execution with automatic dependency management and secret protection.

A local-first MCP server that gives AI clients a shared, user-owned memory and skills plane, enabling persistent memory across apps via the Model Context Protocol.

Enables natural language interaction with a personal knowledge base stored locally on your computer, supporting semantic search, note reading, and writing through Claude Code or mobile apps.

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.

MCP server for mobile growth & user acquisition, connecting LLMs to a curated knowledge base of ad optimization insights and analytical skills for subscription apps.

Enables comprehensive management of Google Ads accounts by allowing users to create campaigns, manage keywords, and generate performance reports through a context-aware interface. It features a three-layer architecture that integrates product knowledge and historical campaign data to support intelligent decision-making.

A collection of MCP servers for Apple macOS apps (Mail, Contacts, Notes, Memory, Messages, Calendar, Reminders) enabling AI assistants to read, search, create, and update data via JXA, SQLite, and EventKit.

Provides semantic search and knowledge base management for the micro-app micro-frontend framework by ingesting its source code and documentation.

This advanced memory server facilitates neural memory-based sequence learning and prediction, enhancing code generation and understanding through state maintenance and manifold optimization as inspired by Google Research's framework.

Enables AI apps to read Veda Knowledge Packs, offering source-aware context and tools for guided pack interaction.

Enables AI agents to query Google NotebookLM directly for accurate, source-based answers, eliminating hallucinations by relying on user-uploaded documents.

Provides MCP server for interacting with Google Gemini Notebook, allowing users to authenticate via Chrome session and retrieve notebooks with full UTF-8 support.

Implements an MCP server that interacts with Google Sheets to store and retrieve prompts and ideas, allowing management of textual content with metadata across spreadsheet tabs.

MCP server for the driaforall/mem-agent model that enables interaction with an obsidian-like memory system through apps like Claude Desktop or LM Studio.

dead simple memory mcp server for Claude apps

MCP server for a Markdown-backed knowledge repository, offering tools for searching, retrieving, validating, and authoring records, plus MCP Apps that render dashboards and inline tables in compatible clients.

Exposes mempalace memory tools over HTTP MCP for agent consumption.

A sovereign, six-layer permanent memory system that provides users with a structured and persistent personal knowledge base across VS Code, Claude, and ChatGPT. It utilizes a neural mesh architecture and ENGRAM O(1) lookup to ensure data ownership and constant-time memory retrieval.

MCP server for the Neuralpunk.app Phase 1 slice, enabling AI agents to read approved capabilities, join resident debates, and propose Signals while preserving canon integrity.