AgentIndex icon
AgentIndex
wet-mcp logo
wet-mcp
★ 19
vs
searxng-mcp logo
searxng-mcp
★ 25

wet-mcp vs searxng-mcp

wet-mcp: WET - Web Extended Toolkit MCP Server provides AI agents with comprehensive capabilities for web search, content extraction, and library documentation retrieval. It features a 5-strategy scraping chain, integrated metasearch, and zero-configuration local models for embeddings and reranking, operating without requiring API keys.; searxng-mcp: Searxng-mcp is an MCP server enabling private web search through a self-hosted SearXNG instance. It enhances search results with local ML-based reranking, multi-tier content fetching via Firecrawl and other tools, and optional LLM-powered query expansion and summarization.

01

TL;DR

wet-mcp logo
wet-mcpRAG / Knowledge Base · ★ 19

AI Agent Research: Enabling AI agents to perform comprehensive web research and academic literature reviews to gather information for complex tasks.

Read wet-mcp full review →
searxng-mcp logo
searxng-mcpRAG / Knowledge Base · ★ 25

Providing private and secure web search for AI agents (e.g., Claude Code, LibreChat).

Read searxng-mcp full review →
02

Side-by-Side Comparison

Field
wet-mcp logowet-mcp
searxng-mcp logosearxng-mcp
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 19
★ 25
License
Apache-2.0
MIT
Install Command
docker run -d --name wet-mcp-http -p 8084:8080 -v wet-data:/data -e MCP_TRANSPORT=http -e PUBLIC_URL=https://wet.example.com n24q02m/wet-mcp:latest
npm install -g @tadmstr/searxng-mcp
Updated
2d ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Web Search, Content Extraction, AI Agent Tooling
Private Search, Web Scraping, LLM Integration
03

Features

wet-mcp logowet-mcp
01Web Search: Embedded SearXNG metasearch (Google, Bing, DuckDuckGo, Brave) with query expansion, TTL cache, and standardized citation format. Optional cloud search backends.
02Content Extract: 5-strategy escalation chain for URL content extraction, providing smart chunks structured output (clean text, markdown, JSON-LD, code blocks, metadata), batch processing, deep crawling, and local file conversion.
03Library Docs: Auto-discover and index documentation with FTS5 hybrid search, HyDE-enhanced retrieval, and version-specific docs for AI agents.
04Zero Config: Built-in local Qwen3 embedding + reranking, no API keys needed. Optional cloud providers can be selected per task for higher-quality results.
searxng-mcp logosearxng-mcp
01Private web search with local ML reranking
02Multi-tier content fetching cascade (Firecrawl, Crawl4AI, etc.)
03LLM-driven query expansion and result summarization
04Comprehensive site crawling and content caching
05Enhanced politeness (robots.txt, User-Agent) and security (SSRF protection)
04

Use Cases

wet-mcp logowet-mcp
↳AI Agent Research: Enabling AI agents to perform comprehensive web research and academic literature reviews to gather information for complex tasks.
↳Structured Data Extraction: Automatically extracting structured and unstructured data from web pages, including clean text, markdown, JSON-LD, and code blocks, for further processing by agents.
↳Developer Documentation Access: Providing AI agents with version-aware and topic-specific access to software library documentation for code generation, debugging, or learning.
↳Offline Content Processing: Converting local files (PDF, DOCX, HTML, etc.) to Markdown for AI agent consumption, enabling analysis of local knowledge bases.
searxng-mcp logosearxng-mcp
↳Providing private and secure web search for AI agents (e.g., Claude Code, LibreChat).
↳Enabling AI-assisted research with enhanced content fetching and summarization.
↳Bypassing scraper blocks and accessing login-walled or JS-heavy content.
↳Maintaining a local, reranked knowledge base for specialized domains like homelabs or dev.
FAQ

FAQ

What is the difference between wet-mcp and searxng-mcp?
Both wet-mcp and searxng-mcp are in the RAG / Knowledge Base category. wet-mcp has 19 stars, while searxng-mcp has 25 stars.
Which is better, wet-mcp or searxng-mcp?
The best choice depends on your use case. Choose wet-mcp if AI Agent Research: Enabling AI agents to perform comprehensive web research and academic literature reviews to gather information for complex tasks., and searxng-mcp if Providing private and secure web search for AI agents (e.g., Claude Code, LibreChat)..
Is wet-mcp free or open source?
Yes, wet-mcp is open source on GitHub (Apache-2.0).
Is searxng-mcp free or open source?
Yes, searxng-mcp is open source on GitHub (MIT).
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