Local LLM Web Search via MCP: oMLX and Pi

Local LLMs running on oMLX, MSTY, or OpenCode gain internet access through MCP search servers. Configure a hosted MCP endpoint (Scavio, Tavily) or a community extension (pi-web-access) to give Qwen, Gemma, or any local model the ability to search the web without sending queries through a cloud LLM provider.

Why MCP for local LLMs

Local models run entirely on your hardware but lack internet access. MCP bridges this gap: the model calls a search tool, the MCP server fetches results from a search API, and structured data flows back into the conversation. Your prompts and conversation history stay local; only the search queries go to the API.

oMLX MCP configuration

oMLX supports standard MCP server configuration. Add a search MCP to your oMLX config:

{
  "mcpServers": {
    "web-search": {
      "type": "url",
      "url": "https://mcp.scavio.dev/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_SCAVIO_API_KEY"
      }
    }
  }
}

Pi extension setup

For Pi, the pi-web-access extension is the zero-config option. Install with one command and it works out of the box with Exa as the default search backend (free tier available):

pi install npm:pi-web-access

For more control over the search backend, configure a custom MCP tool in Pi instead of using the extension. This lets you choose Tavily, Scavio, or Brave as the search provider.

MSTY configuration

MSTY supports claw-based tools. Point a MSTY claw to an MCP search endpoint or use a direct API call in a custom tool definition.

Search backend comparison for local setups

• Tavily: 1,000 free/month. Summarized results (good for grounding, less raw data). Well-supported community MCP server.
• Scavio: 50 free on signup. Hosted MCP at mcp.scavio.dev/mcp. Returns structured JSON with Google, Reddit, YouTube, Amazon, TikTok. One config entry.
• Brave Search: ~1,000 free/month ($5 free credits). Raw results. Multiple community MCP implementations.
• SearXNG: Free, self-hosted. Requires running another container. Unreliable under sustained use.

Model recommendations for search-augmented workflows

From the LocalLLaMA community in May 2026: Gemma 4 31B outperforms Qwen 3.6 27B and Qwen 3.5 122B A10B for task following and prompt understanding. Qwen 3.6 35B A3B is a solid alternative on lower hardware. For search-augmented workflows, tool calling quality matters more than raw benchmark scores.