A zero-config web search and fetch MCP server for LLM agents, featuring multi-backend metasearch, persistent rolling cache, and structured error envelopes for retry-friendly interactions.
A self-contained web-research MCP server that lets local LLM agents search, fetch, and synthesize web content using tools like web_search, web_fetch, and web_research.
Semantic web search MCP server that navigates the live web using a cheap LLM and local embeddings, caching results for fast responses to similar queries without relying on general search engines.
A free and unlimited web search server that enables AI models to search, crawl, and research web content using DuckDuckGo without requiring API keys. It features parallel crawling and a smart ranking system to prioritize the most relevant information for complex queries.
MCP server for local semantic search over web content, enabling AI agents to ingest, index, and query pages with hybrid retrieval and token budget control.