"How to search for academic papers using Google Scholar" matching MCP servers:

Enables agents to search, analyze, and explore arXiv academic papers with advanced multi-field search, author lookup, category browsing, citation extraction, and bibliography export.

Enables AI assistants to search and analyze Google Scholar publications, authors, citations, and download papers.

Enables software and AI to work with accounting engagements through portable concepts such as trial balances, adjustments, working papers, and review notes, with declared adapter capabilities and validate-before-commit mutations.

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

A Playwright-based tool that performs Google searches and extracts results while bypassing anti-bot mechanisms, providing real-time search capabilities for AI assistants.

Enables searching and retrieving academic papers from arXiv and DBLP databases with advanced filtering options. Supports downloading PDFs and provides detailed paper information including titles, authors, abstracts, and publication dates.

Enables AI assistants to perform web and image searches through a Google Programmable Search Engine, with pagination, language/country filters, and safe search.

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.

MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.

MCP server for Google Search Console API, enabling search performance analysis, URL inspection, sitemap management, and property listing. Supports local, self-hosted, and Cloudflare Workers deployments.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

Enables Google search with advanced options (date, language, country, safe search) and webpage content extraction via the Model Context Protocol.

An MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Enables AI agents to query and analyze Google Search Console data, including search analytics, URL inspection, sitemaps, and property verification, and to perform actions like submitting sitemaps and adding properties through natural language.

A powerful Model Context Protocol (MCP) server that provides enhanced Google search capabilities with advanced anonymization and anti-detection features.

Provides tools for AI models to search and retrieve information from five major Polish academic and government databases, including scientific articles and research datasets. It enables users to query platforms like Biblioteka Nauki and Repozytorium UJ through a standardized interface hosted on Cloudflare Workers.

MCP server for searching images with Google

Provides Google Search functionality for AI models using Gemini's built-in Grounding with Google Search feature, returning real-time web search results with source citations.

Enables AI assistants to search, download, and analyze Google images via SerpAPI.