Scavio for MCP Server Routing and Health Monitoring

The Problem

Enterprise AI agents connecting to multiple MCP servers (search, database, messaging) have no centralized monitoring or routing. Each connection is managed independently, making failover impossible and outage detection delayed.

How Scavio Helps

• Centralized health monitoring with PagerDuty/Slack alerts
• Automatic failover when a server goes down
• Single connection for agents replaces N individual connections
• Tool namespace management prevents collisions
• Request logging and latency tracking across all servers

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "Enterprise agent connects to MCP routing layer that aggregates Scavio (search), Postgres MCP (database), and Slack MCP (messaging). When Scavio MCP goes down, health check alerts within 60 seconds. Routing layer redirects search calls to Serper MCP fallback. Agent functionality is uninterrupted.":

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 engineers, enterprise AI teams, DevOps managing multi-server MCP deployments

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