Search the web with neural understanding to find relevant results based on meaning, not just keywords. Supports categories like news, research papers, and companies.
MIT
260,649 tools. Last updated 2026-07-05 08:02
"A semantic web search for 'Exa'" matching MCP tools:
- Perform hybrid web searches combining broad coverage with technical documentation focus. Choose between general web search or documentation-optimized mode to get relevant results with titles, URLs, and snippets.
- Perform real-time web searches and scrape content from URLs using AI-powered search. Configure result counts and search types to find relevant information.MIT
- Perform real-time web searches and scrape content from URLs to find relevant information for research tasks. Supports configurable result counts and search modes.MIT
- Search the web with DuckDuckGo and return context scored by semantic similarity to prioritize relevant results.PythonMIT
- Find web pages semantically similar to a reference URL. Discover related content, competitors, or alternatives without specifying search terms.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceEnables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.Last updated2MIT
- MIT
Matching MCP Connectors
Fast, intelligent web search and web crawling. New mcp tool: Exa-code is a context tool for coding
Exa MCP — neural/semantic web search + content retrieval (exa.ai)
- Find conceptually related web pages using semantic search. Filter by category, domain, or date range. Returns relevance scores and highlighted excerpts.MIT
- Perform web searches to retrieve relevant results including titles, snippets, and URLs using Exa search. Ideal for gathering up-to-date information across the web, though limited for niche topics.MIT
- Perform real-time web searches and scrape content from URLs using AI-powered search. Configure result counts and crawl modes to retrieve relevant website information.MIT
- Perform web searches across multiple engines like Bing, Baidu, DuckDuckGo, and more without needing API keys. Customize queries, set result limits, and choose preferred search engines for tailored results.Apache 2.0
- Perform real-time web searches and scrape content from URLs using AI-powered search. Configure result counts and search depth to find relevant information.MIT
- Extract web page content as markdown or HTML from URLs using multiple search providers with automatic fallback.MIT
- Search the web for information using multiple providers (Tavily, Brave, Kagi) with support for query operators and domain filtering.MIT
- Search the web with precision using the Exa API. Filter results by date, domain, category, or search type to retrieve relevant information efficiently.MIT
- Search the web using Exa's index with filters for domain, date, category, and content. Retrieve results and optionally page contents.MIT
- Search the web using configured engines like Exa, Tavily, DuckDuckGo, or direct HTTP fallback for information retrieval.Business Source 1.1
- Search the R2R knowledge base using semantic, hybrid, graph, or web search methods. Configure parameters manually or use presets for development, research, debugging, and production scenarios to find relevant documents and information.
- Perform real-time web searches and scrape content from URLs using AI-powered search. Configure result counts and search types to find relevant information.
- Search the web using DuckDuckGo to find current information, articles, documentation, and web content. Returns titles, URLs, and snippets for research and fact-finding.
- Search OpenMetadata entities using natural language queries with vector-based semantic matching.MIT