"Using Google Scholar for Conducting Deep and Critical Literature Reviews" 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 searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.

Search 200M+ patents and scientific literature in natural language using PatSnap's global R&D intelligence database.

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

Enables AI agents to research Amazon reviews and voice-of-customer signals through read-only tools for paginated reviews, complaint evidence, rating summaries, media filtering, and side-by-side comparisons of two products.

Enforces 21 critical rules derived from 96+ documented failure patterns to prevent common AI assistant mistakes. Provides automatic compliance checklists, rule summaries, and auto-updates.

High-speed Scientific Literature Semantic Compiler & FastMCP Server Powered by arXiv, OpenAlex, DuckDB HTTP range queries, and TypeSafe Jev System One.

Computes Critical Flicker Fusion Frequency thresholds from ascending and descending psychophysical trial data, capturing hysteresis and comparing results against a baseline to derive a cortical arousal and cognitive fatigue index. It also enables agents to schedule rest interventions and deep-work blocks based on that fatigue signal.

Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.

Provides direct access to 200M+ academic papers from Semantic Scholar, enabling paper search with advanced filters, author discovery, citation analysis, and AI-powered paper recommendations through natural language.

Enables creation and management of academic-paper knowledge bases from PDFs, including ingestion, semantic search with reranking, and document-level retrieval via MCP tools.

A server that allows AI assistants to perform web searches using Perplexity's sonar-deep-research model with citation support.

Enables AI agents to conduct zero-key multi-source deep research, run quick searches across DuckDuckGo, Wikipedia, and ArXiv, and cryptographically verify claims with token-compressed, citation-backed evidence.

Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive

An MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.

An MCP server for deep research that performs search, scraping, synthesis, fact-checking, and persistent memory, enabling users to conduct comprehensive research tasks via Claude.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Web search, clean page reading & one-call research dossiers for AI agents. No API key — your agent does the synthesis.

A Model Context Protocol server that performs comprehensive web research by combining Tavily Search and Crawl APIs to gather extensive information and provide structured JSON output tailored for LLMs to create detailed markdown documents.

Enables agents and LLMs to compute zero-flow pressure intercepts, effective perfusion driving pressure, precapillary wall tension, and hypoperfusion safety classifications through native JSON-RPC tool calls.

Enables deterministic auditing of multi-hop agent trajectories through cyclic loop detection, diversity scoring, and execution drift prevention via the Model Context Protocol.

Enables AI agents to query live trend data and historical search volume across 30+ platforms like Google, TikTok, YouTube, Amazon, and Reddit, including growth comparisons and top-ranking trends.

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

Provides Google search, URL extraction, and academic paper inline extraction without API keys, enabling search and content retrieval from a single MCP server.

Provides hosted, read-only Google Maps tools for MCP clients, enabling place search, full place details, reviews, photos, posts, and contributor history without a Google Cloud project or billing.

Enables AI assistants to manage task lists, tasks, subtasks, due dates, notes, and completion through the Google Tasks API, including reversible completion and syncing changes.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

An MCP server for the Google Forms API that enables creating and editing forms, publishing them, reading responses, and setting up push notifications from AI clients using natural language.

MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.

Enables managing Google Business Profiles through natural language: list locations, reply to reviews, create local posts, and fetch performance metrics.