AgentIndex icon
AgentIndex
wet-mcp logo
wet-mcp
★ 19
vs
olostep-mcp-server logo
olostep-mcp-server
★ 24

wet-mcp vs olostep-mcp-server

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.; olostep-mcp-server: Olostep MCP Server is a Model Context Protocol implementation offering advanced web scraping, content extraction, and search capabilities. It integrates with Olostep to provide AI-powered answers with citations and supports autonomous site crawling and batch processing.

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 →
olostep-mcp-server logo
olostep-mcp-serverRAG / Knowledge Base · ★ 24

Providing real-time web data and context to AI assistants like Cursor, Claude, and VS Code.

Read olostep-mcp-server full review →
02

Side-by-Side Comparison

Field
wet-mcp logowet-mcp
olostep-mcp-server logoolostep-mcp-server
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 19
★ 24
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 olostep-mcp
Updated
2d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Web Search, Content Extraction, AI Agent Tooling
Web Scraping, Content Extraction, Web Search
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.
olostep-mcp-server logoolostep-mcp-server
01Scrape website content in multiple formats (HTML, Markdown, JSON, Text) with optional parsers.
02Parser-based web search delivering structured results.
03AI Answers with citations and customizable JSON outputs.
04Batch scraping and autonomous site crawling for large-scale data extraction.
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.
olostep-mcp-server logoolostep-mcp-server
↳Providing real-time web data and context to AI assistants like Cursor, Claude, and VS Code.
↳Performing large-scale data extraction through batch scraping and autonomous website crawling.
↳Generating AI-powered answers from web content, complete with citations and structured JSON outputs.
FAQ

FAQ

What is the difference between wet-mcp and olostep-mcp-server?
Both wet-mcp and olostep-mcp-server are in the RAG / Knowledge Base category. wet-mcp has 19 stars, while olostep-mcp-server has 24 stars.
Which is better, wet-mcp or olostep-mcp-server?
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 olostep-mcp-server if Providing real-time web data and context to AI assistants like Cursor, Claude, and VS Code..
Is wet-mcp free or open source?
Yes, wet-mcp is open source on GitHub (Apache-2.0).
Is olostep-mcp-server free or open source?
Yes, olostep-mcp-server is open source on GitHub (MIT).
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Related

Alternatives to wet-mcp →Alternatives to olostep-mcp-server →wet-mcp details →olostep-mcp-server details →