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

A standalone MCP server that searches multiple scholarly metadata providers (PubMed, Europe PMC, bioRxiv, Crossref, OpenAlex, Semantic Scholar, arXiv), deduplicates results, and returns ranked literature with optional open-access full-text retrieval from Europe PMC.

MCP server for querying the Semantic Scholar Academic Graph API, enabling paper search, author lookup, citation tracking, and paper recommendations.

Enables users to search scientific literature metadata across OpenAlex, Europe PMC, and Crossref, verify citations, retractions, source quotes, and claims, and build or export hash-chained evidence ledgers with explicit provenance and limitations.

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

Enables users to search academic papers, retrieve paper and author details, explore citation and reference networks, and get paper recommendations via the Semantic Scholar API. It also supports batch operations, field customization, and authenticated or unauthenticated access.

Enables users to search and retrieve academic paper data, author profiles, citation networks, and paper recommendations via the Semantic Scholar API.

Enables users to search papers, retrieve author profiles, explore citation networks, get recommendations, and perform batch lookups through the Semantic Scholar API.

Enables searching academic papers, retrieving paper and author details, exploring citation networks, and receiving recommendations via the Semantic Scholar API.

Enables searching and retrieving academic papers, author profiles, citation networks, references, and paper recommendations through the Semantic Scholar API. Supports batch lookups, snippet search, and customizable field selection with built-in rate limiting and optional API key authentication.

Enables users to search and retrieve academic paper data, author profiles, citation and reference networks, and paper recommendations through the Semantic Scholar API, including batch lookups and snippet search.

Enables retrieval of Trustpilot reviews as structured JSON, including ratings, dates, replies, and company metrics, with MCP support for AI agents.

Enables users to retrieve current daily trending Google searches for any ISO country, including approximate traffic floors and associated news coverage.

Enables users to search for and retrieve academic papers, author profiles, citation and reference networks, and paper recommendations, with batch operations, field customization, and rate-limit-aware access.

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

Enables users to search and retrieve academic paper metadata, author profiles, citation and reference networks, snippets, and paper recommendations through a FastMCP interface.

Enables MCP clients to fetch Google Trends data for any term, including interest over time, interest by region, and related queries and topics, all as structured JSON.

Enables searching and retrieving academic papers, authors, citations, and recommendations from Semantic Scholar via MCP.

Enables AI assistants to fetch real-time news from Google News RSS feeds with support for headlines, categories, location-based queries, and advanced search operators. Features automatic URL decoding, concurrent processing, and intelligent caching for optimized access to global news content.

Provides access to Google Trends data including status, trending questions, and trending topics via MCP tools.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

Enables AI assistants to query Google Trends data, including search interest over time, regional breakdowns, trending searches, and keyword ideas.

A Model Context Protocol server that provides semantic search and intelligent access to a comprehensive list of free services and tools for developers.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

Enables querying Google Trends data directly from conversational MCP clients, including search interest over time, related queries and topics, regional breakdowns, and trending searches, for market research without leaving the chat.

Enables users to look up any company's Google advertising by domain or verified advertiser name, returning one row per ad with its format, first and last shown dates, creative link, and Transparency Center permalink. Also returns a per-company summary stating whether the advertiser runs Google ads, roughly how many, and in which formats, with unfiltered by region, format, recency, or ad count.

Enables searching Google's Knowledge Graph for real-world entities via two tools: search by query or lookup by Machine ID, returning structured data including entity types, descriptions, and URLs.

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

Enables AI assistants to search public sources for labs, papers, grants, clinical trials, and patents on a research topic, returning ranked labs with explanations, researcher profiles, and geographic data.

A Python FastMCP server that re-exposes Kindora's public funder and grant tools for ChatGPT, enabling grant discovery from IRS 990 filings and Grants.gov.

Enables users to discover matching public procurement notices from four official portals, with filters by keywords, CPV prefixes, and buyer country. Returns structured notice rows including buyer, deadline, value, codes, and link.