"A search engine that searches multiple other search engines" matching MCP servers:

Enables AI to perform fast, multi-source web searches and research through tools for web, social, news, GitHub, and document analysis.

Enables one-call parallel querying across multiple search engines, aggregating and deduplicating results while automatically falling back to mainland engines when overseas sources are unreachable.

Privacy-respecting, self-hosted metasearch MCP server that aggregates results from multiple search engines and fetches page content as Markdown.

This MCP server provides a unified search experience by integrating and intelligently fusing results from multiple major search engines. It automates complex processes like query language detection, weighted result ranking, and engine failover to deliver robust and high-quality search output.

A federation MCP server that sits in front of multiple memory backends and presents a unified search surface to AI agents, allowing a single query to search across knowledge graphs, session history, and web search.

Enables web search without API keys using DuckDuckGo and Bing search engines, and retrieves webpage content. Supports multiple search engines simultaneously with privacy protection and asynchronous processing.

Enables semantic search across documentation stored in Gemini FileSearchStores, returning AI-generated answers with source citations.

Enables MCP clients and agents to run structured web searches and fetch web pages as Markdown through a search/fetch API, with rate limiting, retry/backoff, request deadlines, and private-address blocking for safer agent use.

Provides agent-friendly web search via MCP with zero-config free engines, region-aware failover, freshness filtering, and a one-call research tool that searches, fetches, and summarizes pages.

Universal search engine for AI agents. Discover products, services, and businesses across every category. 10 MCP tools, zero LLM calls, millisecond responses.

MCP server for searching Chinese academic literature from CNKI Space, returning metadata such as title, authors, year, and links, and retrieving abstracts and degree details. Enables agents to query CNKI without an account.

Enables LLMs to search and retrieve Autotask tickets, companies, and contacts using advanced semantic search and AI-powered reranking.

Pay-per-use semantic web search for AI agents. Powered by SearxNG, agents pay in sats via Lightning Network micropayments — no API keys required.

Own your sovereign AI model. Domain-specific fine-tuning of open-source LLMs and SLMs with total control and zero infrastructure hassle. Tuning Engines provides specialized tuning agents to tailor top open models to your needs — fast, predictable, fully delivered. Fine-tune Qwen, Llama, DeepSeek, Mistral, Gemma, Phi, StarCoder, and CodeLlama models from 1B to 72B parameters on your data via CLI o

MCP server for PubMed search and literature summarization

A deep web search MCP server using LinkUp API that provides a deep_search tool for performing deep web searches with optional max results.

Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.

A Model Context Protocol server that enables web searching using the Serper API for Google search results, with optional web page content fetching.

Aggregated search API service that provides real-time web search capabilities for AI assistants via MCP.

MCP search and evidence tool for AI agents. Rewrites queries, zooms into source domains, and returns sourced answers with metrics.

Enables web searches across multiple engines (DuckDuckGo, Bing, Google, SerpAPI, Google CSE, Tavily) with no API key required for the free engines, plus automatic fallback, caching, and webpage content fetching.

Enables web and local search capabilities using the Brave Search API, allowing users to perform general web searches and find local businesses with ratings, hours, and contact info.

Enables AI agents to perform web searches using the Brave Search engine, providing an independent alternative to Google/Bing.

Enables AI assistants to search the web using Google Search via Gemini grounding, returning a summarized answer with inline citations and a list of source URLs.

Enables AI agents to perform web search, extraction, and research across multiple provider backends with persistent multi-key rotation and auditable routing. Supports MCP, CLI, and Agent Skill entry points.

Provides keyless, privacy-focused web search through DuckDuckGo and SearxNG via MCP, with token-efficient tool discovery and caching.

Enables web search and AI-summarized answers via an x402-gated gateway, with options for structured results or enriched summaries, accessible as an MCP server.

Enables searching Reddit posts, fetching subreddit content, and retrieving post comments without requiring an API key. It uses public JSON endpoints to provide seamless access to Reddit data for LLM-based applications.

Enables searching, downloading, and exporting academic papers from 20+ scholarly sources including arXiv, PubMed, and Semantic Scholar. Supports multi-source concurrent search, citation network tracing, and export to CSV, RIS, and BibTeX.

Enables LLMs and coding assistants to run web searches by concurrently aggregating multiple commercial search engines per scenario, merging and deduplicating URL-normalized results with per-call fallback. When no API keys or all commercial engines fail, it automatically degrades to key-free DuckDuckGo and Bing channels so search never goes offline.