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