"Prompt Enhancer MCP Search" matching MCP servers:

Enables exploring and analyzing US Data Analyst job postings, offering job search, salary benchmarking, and skill-demand insights through MCP tools, resources, and a career gap review prompt.

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

Enables searching scholarly literature across CrossRef, ERIC, Semantic Scholar, and OpenAlex, and retrieving open-access PDFs via Unpaywall.

Provides AI assistants with access to the Adzuna Job Search API to search millions of job listings, analyze salary data, and research top employers across 12 countries with comprehensive filtering options.

Enables MCP clients to perform live Google searches and retrieve structured SERP data including organic results, AI Overviews, People Also Ask, AI Mode answers, news, shopping, and short-video results via eight read-only tools.

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.

An MCP implementation that integrates the Brave Search API, providing comprehensive search capabilities including web, local business, image, video, news searches, and AI-powered summarization.

Transforms raw Google Search Console signals into actionable marketing insights, such as detecting cannibalization, segmenting search intent, and identifying citation opportunities, for any MCP-compliant AI agent.

Enables searching academic literature via Semantic Scholar with relevance filters, batch metadata retrieval, and citation-graph recommendations.

Enables AI to search, filter, and process CNKI academic literature through natural language, including structured search, metadata retrieval, full-text reading, citation export, and PDF/CAJ download.

A professional literature search tool built on FastMCP framework that enables AI assistants to search academic literature from Europe PMC, retrieve article details, and analyze journal quality with seamless integration into Claude Desktop and Cherry Studio.

An intelligent research assistant MCP server for AI agents, providing task-oriented literature search and analysis across multiple academic databases.

A Node.js implementation that provides tools for advanced PubMed searching, including full abstract retrieval and PMC full-text search within open access articles. It features SQLite-backed search history and allows users to filter results by MeSH terms and specific publication dates.

AI-powered academic paper search MCP server with relevance scoring, summarization, author search, and credit checking. Enables users to search papers naturally and get scored results.

Enables agents to search papers across Semantic Scholar and arXiv, read and extract text from arXiv PDFs, align records across sources, and produce structured literature-analysis digests.

Provides tools to search Naver services (web, news, blog, etc.) and analyze search trends using Naver DataLab, with all required MCP protocol methods implemented for compatibility with Cursor and Claude Desktop.

Enables searching academic papers on arXiv and retrieving detailed information such as title, authors, summary, and PDF link.

A Model Context Protocol server for searching and downloading academic papers from multiple free and public sources, enabling LLM-driven academic research workflows.

Enables searching and downloading academic papers from 14 platforms including arXiv, PubMed, Google Scholar, Web of Science, Springer, and Sci-Hub with unified data format and intelligent rate limiting.

Provides advanced Google Custom Search functionality, web content extraction, and specialized research tools such as search analytics, multi-site search, and fact checking. Works as an MCP server compatible with any MCP client.