Fresh Data for Gemini CLI and Codex

The Problem

Gemini CLI and Codex both ship with weak or expensive built-in web search. Gemini CLI burns tokens on grounding; Codex webfetch requires a URL, not a query. Coding agents that should be looking up live docs, libraries, and issue threads end up hallucinating or skipping research entirely.

The Scavio Solution

Register Scavio as an MCP tool in Gemini CLI or Codex CLI. Both agents get fresh SERPs, YouTube, Reddit, Amazon, and Walmart data with one config line. Token usage stays flat because Scavio returns structured snippets instead of full page dumps.

Who It Is For

Developers using Gemini CLI or Codex CLI who want a reliable, cheap, fresh search tool their agent can call.

Key Benefits

• One config line registers Scavio across MCP-compatible agents
• Structured snippets keep token budgets predictable
• Reddit, YouTube, and Google in one tool
• Works with Gemini CLI, Codex CLI, Cursor Agent, Claude Code, Continue, Cline, Aider
• Free tier covers typical daily agent traffic

Python Example

# MCP config is JSON; here is the equivalent Python client call
import requests, os
r = requests.post('https://api.scavio.dev/api/v1/search',
    headers={'x-api-key': os.environ['SCAVIO_API_KEY']},
    json={'query': 'react server components tutorial 2026'})
print(r.json().get('organic_results', [])[:3])

JavaScript Example

// ~/.config/gemini/mcp.json
const config = {
  mcpServers: {
    scavio: {
      command: 'npx',
      args: ['-y', '@scavio/mcp'],
      env: { SCAVIO_API_KEY: process.env.SCAVIO_API_KEY },
    },
  },
};

Platforms Used