Scavio for MCP Search Gateway for Multi-Agent Systems

The Problem

Multi-agent systems with 3-5 agents all making independent search calls create duplicated queries, no shared caching, no centralized budget control, and cascading failures when a provider goes down.

How Scavio Helps

• Centralized search for all agents through one MCP endpoint
• Result caching eliminates 20-30% of duplicate queries
• Per-agent budget limits prevent credit exhaustion
• Automatic failover transparent to all connected agents
• Single point of monitoring for search reliability

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "mcp search gateway multi-agent system centralized search 2026":

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 Platform teams building multi-agent infrastructure, SREs managing agent search reliability, and teams operating 3+ agents with search needs

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

Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.