For local Llama users needing web search, Brave API and SearXNG offer the most privacy-aligned options, while Scavio and Tavily provide more structured results for agent workloads.
Scavio is best for local Llama setups that need structured data from Amazon, Reddit, or TikTok alongside web search — tasks where SearXNG and Brave fall short due to limited platform coverage.
Full Ranking
Scavio
Local Llama with multi-platform structured data needs
- Works with any HTTP-capable local LLM setup
- 6 platforms for rich grounding
- MCP server for OpenWebUI integration
- Cloud-dependent, not air-gapped
- Smaller free tier for heavy experimentation
Tavily
Structured AI-ready results for local agent frameworks
- AI-formatted results reduce local LLM parsing work
- 1,000 free/mo generous for Llama experimentation
- Works with Ollama-based agent frameworks
- Cloud service — data passes through Tavily servers
- Google-only coverage
Brave Search API
Privacy-conscious local LLM users
- Independent of Google
- Privacy policy better than Google-based alternatives
- Simple setup for Ollama/OpenWebUI
- Smaller index
- Less structured than Tavily or Scavio
SearXNG
Air-gapped or fully self-contained setups
- Completely free and self-hosted
- No data leaves your infrastructure
- Meta-search aggregates multiple engines
- Reliability issues at scale
- Maintenance burden
- Rate limited by upstream engines
Serper
Cheap Google search for local LLM grounding
- 2,500 free credits enough for weeks of experimentation
- Simple REST API works with any LLM
- Fast responses
- Google-only
- One-time free tier runs out
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Self-Hosted Option | No | No (Tavily) | Yes (SearXNG) |
| OpenWebUI MCP Support | Yes (native) | Via plugin | Built-in |
| Free Tier | 250/mo ongoing | 1,000/mo | Unlimited (self-hosted) |
| Platform Coverage | 6 platforms | Google only | Meta-search |
| Privacy | Cloud, GDPR | Cloud | Self-hosted |
| Setup Complexity | Low (API key) | Low | High (Docker) |
Why Scavio Wins
- Local Llama setups for ecommerce or research tasks need Amazon and Reddit data — SearXNG and Brave only aggregate general web results
- The MCP server at mcp.scavio.dev/mcp plugs directly into OpenWebUI without the Docker setup and reliability issues of self-hosted SearXNG
- At 250 free credits/month, small-scale local Llama experimentation costs nothing while Serper's one-time free tier depletes
- Structured SERP responses reduce the local LLM's parsing burden compared to raw HTML that SearXNG returns, improving answer quality