mcp-searxng
Active·★ 1.2k·Updated 2026-09-09
★ Trending★ Essential
This is an MCP server implementation that integrates the SearXNG API, providing comprehensive web search capabilities. It supports general queries, URL content reading, intelligent caching, and various filtering options for search results.
mcp-searxng is currently grouped under RAG / Knowledge Base, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Web Search with Pagination and Integrating real-time web search into AI agents and assistants.. It also shows measurable community traction with 1.2k GitHub stars.
#MCP#SearXNG#Web Search#API#Node.js#Web Browsing
01
Features
01Web Search with Pagination
02Advanced URL Content Reading
03Intelligent Caching with TTL
04Time and Language Filtering
05Safe Search Control
02
Why choose it
+Web Search with Pagination
+Integrating real-time web search into AI agents and assistants.
+Covers 4 supported environments or platforms, which is helpful for broader deployment needs.
+The latest recorded update is 2026-09-09, which suggests the project is still actively maintained.
03
Trade-offs
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04
Compatibility
MCP Protocol
Native
Verified via docs
SearXNG
Integrated
Verified via docs
Node.js
Runtime
Verified via docs
Docker
Containerized
Verified via docs
05
Quick start
1
$ npm install -g mcp-searxng
06
Use cases
↳Integrating real-time web search into AI agents and assistants.
↳Extracting and processing content from specific URLs for analysis or summarization.
↳Providing up-to-date information to large language models for RAG applications.
07
How it compares
≈mcp-searxng sits in the RAG / Knowledge Base category, so it makes more sense to evaluate it alongside tools like mindsdb instead of in isolation.
≈If your main need is closer to "Integrating real-time web search into AI agents and assistants.", that use case is a better lens for comparison than broad feature checklists alone.
≈mcp-searxng's licensing and community traction are both easier to judge in category context.
08
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