The Problem
An r/LocalLLM post: Tavily did not yield results for local LLM search. Privacy-first users abandon search grounding entirely.
The Scavio Solution
Replace Tavily with Scavio MCP for local LLM search. Scavio's structured SERP provides consistent results because it queries Google's index directly. Zero data retention preserves privacy.
Before
Local LLM + Tavily: inconsistent results, some queries return nothing. User gives up on search grounding.
After
Local LLM + Scavio MCP: consistent structured results from Google's index. Zero data retention. Privacy preserved.
Who It Is For
Privacy-conscious developers, local LLM enthusiasts, self-hosted AI users, anyone who experienced Tavily search quality issues.
Key Benefits
- Consistent results from Google index
- Zero data retention policy
- MCP works with Ollama, LM Studio, opencode
- One config line to set up
- Privacy: only the search query leaves your machine
Python Example
Python
# For Ollama/opencode/Claude Code:
# claude mcp add scavio https://mcp.scavio.dev/mcp --header 'x-api-key: YOUR_KEY'
# Or in mcp.json:
# { "mcpServers": { "scavio": { "url": "https://mcp.scavio.dev/mcp", "headers": { "x-api-key": "KEY" } } } }JavaScript Example
JavaScript
// MCP config; no application code.Platforms Used
Web search with knowledge graph, PAA, and AI overviews