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
Web search with knowledge graph, PAA, and AI overviews
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 (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.