free-search-mcp-ts
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- AlicenseNot gradedqualityBmaintenanceGives any MCP client keyless web, news, semantic, and GitHub search plus a token-efficient reader-mode page and text-PDF fetcher, with engine fallback and a local sqlite cache. It enables agents to keep researching the web without API keys, signups, or account quotas.MIT
- AlicenseNot gradedqualityBmaintenanceEnables 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.376 npm1ISC
- AlicenseNot gradedqualityCmaintenanceLocal web search MCP server that fuses multiple search engines, fetches and compresses pages to reduce tokens and cost, with caching for repeated and paraphrased queries.26 PyPI60MIT
- AlicenseNot gradedqualityFmaintenanceMCP server enabling local-first web search, fetch, extract, and caching with citeable excerpts, no API key required. Supports research workflows for agents and apps.72 npm1MIT
- AlicenseAqualityAmaintenanceA local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.11169MIT
- AlicenseAqualityCmaintenanceFree web search, web-page reading as Markdown, and llms.txt documentation retrieval for MCP clients. Runs locally with Node.js over stdio using @alkasima/alka-search-mcp. Searches DuckDuckGo, Mojeek, and Brave; default providers require no API key. Website and provider availability may vary.8339 npmMIT
TDQS
Scored across 8 tools
Most tools have clearly distinct roles, and descriptions explicitly route between them (web_search vs research, fetch_url vs fetch_urls). The main overlap is fetch_url and parse_document, which both convert remote documents/HTML to Markdown from a URL, leaving some ambiguity about which to pick for a remote document.
The dominant pattern is snake_case verb_noun (fetch_url, fetch_urls, parse_document, search_index, list_engines), which is predictable. Deviations are research (a bare verb/noun) and local_index (a noun phrase rather than an action), but these are minor.
Eight tools is well-scoped for a search/fetch/research server, with each tool earning its place across search, fetch, parse, index recall and engine introspection. No redundancy or padding.
The surface covers the full lifecycle: multi-engine search, orchestrated deep research, single and batch fetching, document parsing, offline index recall, cache management and engine introspection. No obvious gaps or dead ends for the stated domain.