web-research-assistant and wet-mcp

Both are MCP servers for web search, but **elad12390/web-research-assistant** offers broader functionality by integrating with SearXNG and including tools for package info, GitHub, error translation, and API docs, while **n24q02m/wet-mcp** is more focused on content extraction and documentation indexing.

web-research-assistant
54
Established
wet-mcp
54
Established
Maintenance 10/25
Adoption 8/25
Maturity 22/25
Community 14/25
Maintenance 13/25
Adoption 11/25
Maturity 18/25
Community 12/25
Stars: 6
Forks: 3
Downloads: 66
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks: 1
Downloads: 5,222
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

About web-research-assistant

elad12390/web-research-assistant

MCP server for SearXNG with 13 production-ready tools for web search, package info, GitHub integration, error translation, API docs, and more

Implements the Model Context Protocol over stdio for seamless Claude Desktop and OpenCode integration, with configurable backends including local SearXNG, Exa AI neural search, crawl4ai for content extraction, and Pixabay for images. Exposes 4 MCP resources for direct data lookups (packages, repos, service status, changelogs) and 5 reusable prompt templates alongside the 13 tools, enabling AI agents to conduct structured research workflows with automatic response size limits and usage tracking.

About wet-mcp

n24q02m/wet-mcp

MCP server for web search, content extraction, and documentation indexing

Provides embedded metasearch (SearXNG) with semantic reranking and query expansion, plus specialized academic research across Google Scholar, arXiv, and PubMed. Features local full-text documentation indexing with HyDE-enhanced retrieval, batch content extraction from up to 50 URLs, and multimodal analysis—all with zero-config local embeddings (Qwen3) or optional cloud providers. Integrates as an MCP server with Claude, Gemini, and Codex via stdio transport, with automatic setup and encrypted credential storage.

Scores updated daily from GitHub, PyPI, and npm data. How scores work