"Using Google Scholar for Conducting Deep and Critical Literature Reviews" matching MCP servers:

A FastMCP server for the scholarly citation landscape that enables LLMs to search, cross-reference, and retrieve prior art across papers, patents, books, and standards via multiple APIs.

Scholar MCP connects your agent to academic search, citations, primary text and figures, and an optional local research library. Source keys are optional.

An open-source deep research MCP server that provides multi-source web search and synthesis with citations, enabling agents to perform citation-backed research using Qwen3-30B-A3B-Thinking and other models.

Enables Claude Code to manage Gmail, Google Calendar, and Google Drive via a dedicated Google account, keeping personal data separate.

Enables AI agents to inspect any public domain’s web technology stack, email deliverability and DNS health (MX, SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI), and HTTPS security posture with typed JSON scores and remediation-ready findings, plus history, bulk checks, monitoring alerts, and reverse technology lookups.

Exposes a local biomedical literature pipeline as MCP tools for automated research workflows. Enables literature search, open-access paper retrieval, and draft generation for biomedical and pathology domains through standard MCP clients.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

Enables real-time flight fare searches across date ranges and multiple destinations, with historical price insights and booking links. Provides one-way and round-trip search tools through MCP.

A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables AI agents to edit Google Docs via text anchors rather than character indices, preserving version history and enabling surgical edits without full document rewrites.

MCP server integrating multiple Google Workspace services including Gmail, Calendar, Drive, Sheets, Docs, Tasks, People, Forms, and Slides, enabling users to manage emails, events, files, documents, and more through natural language.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

An MCP server that provides access to the Google Calendar API, allowing AI assistants to list and retrieve calendar items via OAuth 2.0 tokens.

Enables AI coding agents to discover and verify current open-source libraries and models using live GitHub activity, PyPI adoption, license checks, and hardware VRAM estimates before generating code.

Automates sports editorial graphic poster creation using Google Flow through a Playwright-based pipeline, exposing a FastMCP server for integration with MCP clients.

Enables LLMs and AI agents to query and explore Google Ads accounts and API resources through MCP tools and resources, including account information, resource metadata, metrics, segments, and release notes.

Google Analytics 4 MCP server with local STDIO and shared team Cloud Run modes, realtime visitor counts, metadata discovery, and funnel analysis.

Enables managing Google Ads campaigns through an AI assistant with read-only reporting, recommendations, and gated write operations for bids, budgets, and statuses, all backed by preview and audit logging.

Multi-user Google Ads MCP server with OAuth-per-user auth, Firestore token storage, raw GAQL queries, and 10+ extra reporting tools beyond the official server.

Enables AI assistants to search places, retrieve place details, reviews, photos, business posts, and contributor review histories from Google Maps through natural language, with no API keys or paid billing required.

Google Tag Manager MCP server for managing tags, triggers, and variables from Claude, local or remote.

An MCP server for the Google Ads API, providing 29 tools for campaign management, reporting, and optimization.

Enables LLMs and AI agents to query Google Ads accounts and reporting data through the Google Ads API, including customer lookups, resource metadata inspection, and reference material on metrics, segments, and release notes. Tools and resources can be selectively enabled and namespaced via a configuration file, with authentication handled through Application Default Credentials or an OAuth proxy.

MCP server that provides tools and resources for interacting with Google Ads API, enabling search, metadata retrieval, and account management through natural language.

Enables AI assistants to look up travel times for driving, walking and cycling, turn-by-turn directions, multi-stop route plans, place details with opening hours, and map images, all from Google's map data. It works read-only without an API key, billing or a Google account, and renders routes and places as interactive cards in supporting clients.

Enables agents to run Google searches across web, images, videos, news, books, shopping, scholar, patents, and AI Mode without an API key, using a cookie-bootstrapped HTTP fast path with a headless browser fallback, proxy rotation, and adaptive cooldowns. Every response reports an explicit status (ok, blocked, rate_limited, empty, error) so results are never fabricated.

Multi-account Google Ads MCP server that allows connecting any number of Google Ads accounts and querying campaign performance, keywords, search terms, and account analytics by name in the same session.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.