SearXNG Meta Search
This MCP server, developed by Kevin Watt, integrates SearXNG's meta-search capabilities into AI workflows. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a privacy-focused search interface that combines results from multiple engines. The implementation offers features like multi-category searches, language filtering, time range selection, and adjustable safe search levels. By connecting AI models with SearXNG's robust search functionality, this server enables sophisticated information retrieval scenarios such as multi-source research, trend analysis, and content aggregation. It's particularly valuable for applications requiring privacy-conscious, diverse, and customizable search results, making it ideal for research tools, content curation systems, and privacy-oriented AI assistants.
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
- search
- Source
- PulseMCP
- Repository
- github.com/kevinwatt/mcp-server-searxng
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve SearXNG Meta Search 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.