Search Scrape (SearXNG)
Pure Rust web search and scraping MCP server that combines SearXNG federated search with advanced content extraction capabilities. The implementation uses a containerized SearXNG instance for privacy-focused search across multiple engines (Google, DuckDuckGo, Bing, Startpage) while providing a sophisticated Rust-native scraper that leverages readability algorithms, language detection, and content preprocessing to extract clean text from web pages. Features comprehensive caching with Moka, concurrent request limiting, retry logic with exponential backoff, and specialized extraction for documentation sites like mdBook, making it valuable for AI applications that need reliable web research capabilities without depending on external scraping services or compromising user privacy through direct search engine APIs.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/cortex-works/cortex-scout
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Search Scrape (SearXNG) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.