Scavio for Claude Code + Codex Dual-Agent Search

The Problem

Developers testing both Claude Code and OpenAI Codex want consistent search results across agents. Running separate search integrations creates context drift and doubles API costs.

How Scavio Helps

• One MCP config works in both Claude Code and Codex (OpenAI added MCP support)
• Identical search context eliminates agent comparison noise
• Single API key and credit pool across both agents
• Compare agent reasoning quality without search quality as a variable
• MCP protocol is vendor-neutral by design

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "claude mcp add scavio https://mcp.scavio.dev/mcp --header 'x-api-key: $KEY' → same config in Codex MCP settings → both agents call scavio.search with identical results":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Developers evaluating Claude Code vs Codex, teams running multi-agent architectures, AI tool reviewers

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your claude code + codex dual-agent search solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.