Scavio for MCP Production Search Routing

The Problem

Production agents hardcode a single search provider. When that provider degrades, the agent produces poor results or errors. MCP-based routing lets agents make cost-aware, availability-aware decisions at request time without code changes.

How Scavio Helps

• Dynamic provider routing without code changes
• Cost optimization across multiple search providers
• Automatic failover on provider degradation
• MCP integration works with any MCP-compatible agent
• Observability into which providers serve which requests

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "Agent receives search request. Calls Tickerr MCP for provider status. Scavio is healthy, Serper is degraded. Agent routes to Scavio. If Scavio were down, routes to Brave. Decision logged for cost tracking. Total overhead: ~100ms for status check.":

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 Agent platform engineers, teams running multi-provider agent infrastructure, DevOps engineers managing AI agent deployments

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your mcp production search routing 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.