open-scout
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to perform web searches with full content retrieval and multi-engine provenance, including trust scoring and local corpus persistence, via MCP integration.1 npm3Apache 2.0
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to run web searches across configured providers and crawl individual pages or whole sites into clean Markdown or JSON, including authenticated crawls and local or HTTP MCP deployment.-
- AlicenseAqualityAmaintenanceProvides local-first web intelligence over MCP with tools for search, fetch, crawl, extract, cache, find-similar, research, and autonomous agent loops, requiring no API keys.101,093 npm5,503AGPL 3.0
- AlicenseNot gradedqualityAmaintenanceEnables MCP clients to run offline-first web search, fetch and extract web content, build a local hybrid-retrieval knowledge base, and use persistent session memory without external API keys. It also supports intent-aware federated search, semantic reranking, entity graph exploration, and source-cited deep-search answers using local models.327 npm1ISC
- AlicenseBqualityCmaintenanceEnables AI agents to perform web searches and extract full-text content from web pages via standard MCP tools, with fallback search and semantic reranking.22MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to perform local-first web search, fetch, crawl, extract, cache, research, and autonomous information gathering through MCP, with no API keys or cloud dependencies.1,093 npmAGPL 3.0
TDQS
Scored across 3 tools
search is query-based, get_contents is URL-based, and find_similar discovers related pages—distinct purposes. There is minor overlap since both search and get_contents return page text, but the descriptions clarify the query vs URL distinction.
All names are verb-led and readable, but only get_contents and find_similar follow a verb_noun/adjective pattern; search is a bare verb. This is a minor inconsistency rather than a confusing mix.
Three tools cleanly cover the core read-only operations of a search index: querying, fetching content, and finding related pages. The set is well-scoped with no bloat or missing essentials.
The surface supports search, retrieval, and similarity discovery, but lacks tools for browsing or managing the index (e.g., listing indexed pages, stats). Crawling is explicitly out of scope, so the core workflows are covered with only minor gaps.