Cluefinch MCP
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Alternatives to Cluefinch MCP
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- AlicenseNot gradedqualityCmaintenanceEnables models to run web searches through DuckDuckGo and to fetch and extract the readable text of public pages, with bounded result counts, character limits and URL safety checks. It exposes two simple tools over stdio, requiring no API keys, ports or persistent processes.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceProvides LLM-free search, fetch, and rerank tools over any reachable SearXNG instance, returning extracted, deduplicated, cross-encoder-reranked results with citation-ready markers and coverage signals. Lets agent hosts such as Open WebUI, Claude, or tool-calling models drive their own iterative research loop while sharing one deterministic retrieval and ranking core.MIT
- AlicenseAqualityBmaintenanceLocal on-demand web search and page reading for coding agents via SearXNG, with SSRF-protected fetching and Markdown extraction.2MIT
- AlicenseAqualityAmaintenanceEnables AI agents to run local deep-research workflows via a single MCP stdio server, combining web search, page extraction, query-aware distillation, and caching without cloud quotas. It exposes tools for deep research, search, and single or batch URL reading.679 PyPIMIT
- AlicenseAqualityBmaintenanceGives AI agents local web search and page reading with no API keys, layering a SearXNG-backed search cache with browser-based fallbacks and returning clean page text from HTML, PDF, JSON, and archived snapshots. Fetches run in Docker alongside the search engine with SSRF protection, egress filtering, and untrusted-content marking so agents can safely retrieve live web data.2MIT
- FlicenseAqualityCmaintenanceEnables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.3-
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: web_search for discovery, web_fetch for reading one document, web_links for navigating known HTML pages, and research_collect for multi-source evidence gathering. The descriptions explicitly state when to use each and include 'DO NOT' guidance to prevent misuse, leaving no ambiguity.
Three tools follow a web_ prefix pattern, but research_collect deviates. Verb forms are also mixed: web_search and web_fetch are verb-based, web_links is noun-based, and research_collect combines noun+verb. All are snake_case and readable, but the pattern is not fully consistent.
Four tools is well-scoped for a web research server. Each tool serves a distinct, non-redundant function—discovery, single-document reading, link navigation, and multi-source collection—so every tool earns its place without bloat or thinness.
The surface covers the core lifecycle of web research: discovery, navigation, reading, and multi-source evidence gathering. A minor gap is the absence of any crawling or bulk link-following tool, though the descriptions intentionally exclude crawling, making it a reasonable scope boundary rather than a critical omission.