mcp-searxng and web-research-assistant
These are competitors offering overlapping core functionality (SearXNG integration for web search), though B differentiates itself with additional production tools (GitHub integration, API docs, error translation) while A focuses on a minimal SearXNG wrapper.
About mcp-searxng
ihor-sokoliuk/mcp-searxng
MCP Server for SearXNG
This project helps AI assistant developers give their AI assistants powerful web search capabilities. It acts as a bridge, taking search requests from an AI assistant and sending them to a SearXNG instance. The AI assistant then receives structured search results and extracted web page content. Developers building custom AI assistants or integrations would use this.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work