Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Local-first, keyless web intelligence in one server: search, fetch, crawl, extract, cache, find-similar, and research. Multi-engine search with local ML reranking and a persistent SQLite cache, renders JS-heavy pages, and keeps everything on your machine. Install via npx wigolo init --non-interactive --agents=.
Crawl websites into clean Markdown, search pages, and extract structured data with LLMs. Built-in MCP server for web research and RAG pipelines.
Quality signal
59/100 (Good)
51/100 (Fair)
Install path
npx · high
npx · high
Engagement
1 0 0 4,410
5 0 1 3
Tools
Multi-engine web search with local machine learning rerankingPersistent SQLite cache storing all fetched data locallyJavaScript rendering for dynamic web pagesKeyless operation for search, fetch, crawl, extract, cache, and similarityOptional LLM integration for research and answer synthesisSupports multiple AI agents via MCP and REST endpoints
Crawl single pages or entire websitesStrip navigation, scripts, and boilerplate from HTMLGenerate clean Markdown files with citationsProduce structured JSONL index of crawled pagesLocal embedding model included, no API keys requiredConfigurable URL filters and download of referenced files