"Google Analytics" matching MCP servers:

Enables searching Google Scholar with Scholar operators, year ranges, cited-by and all-versions lookups, and retrieving citations in five styles with BibTeX and EndNote export links as structured JSON.

Enables AI assistants to query local ChatLab chat history using natural language, with tools for session listing, message retrieval, and analytics.

TypeScript MCP server for Obsidian with core vault operations, graph analytics, and semantic search.

Enables agents to answer analytics questions with provable correctness by resolving metrics through the semantic layer, tracing lineage, traversing knowledge graphs, checking freshness, and searching glossary definitions, while enforcing access controls and logging every call.

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 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.

Enables AI assistants to manage Obsidian vaults via the local REST API, supporting CRUD operations, batch processing, templates, and vault analytics.

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 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.

Enables AI agents to record and retrieve learning activities through xAPI-compliant Learning Record Stores, bridging AI interactions with learning analytics.

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 intelligent, use-adaptive Obsidian vault search, ranking files via BM25, PageRank, and Hebbian usage signals. Enables hybrid ranked search, neighboring-note discovery, and vault analytics.

Enables LLM clients to read, search, and write to a local Obsidian vault over MCP, with full-text search, vault analytics, health scoring, and policy-enforced file operations.

Central MCP server for storing and querying lessons learned and project-specific implementation details, compatible with MCP-capable AI clients like Cursor, Claude Code, and Google Antigravity.

Enables AI agents to maintain persistent personal memory and portable skills across MCP-compliant clients, with hybrid semantic recall and deterministic SQL analytics.

Stores photos and notes as experience memories in Google Drive and enables natural language search to retrieve them later.

Comprehensive integration with Google Workspace services (Gmail, Calendar, Sheets, Docs, Drive) plus local storage for job tracking and a personal memory system for storing user preferences, behaviors, and goals.

MCP server for iTop ITSM that provides 19 tools for analytics, ticket management, comments, knowledge base, and CI impact analysis, enabling AI assistants to interact with iTop.

An MCP server providing 67 tools for AI-assisted storywriting, world-building, character development, screenplay generation in industry formats (Fountain, FDX, PDF), storyboards, and production analytics.