Scavio for MCP Agent Composability Pipeline

The Problem

AI agents using separate MCP servers for each search platform end up with cluttered tool definitions, multiple auth configs, and inconsistent result formats across 3-5 MCP connections.

How Scavio Helps

• One MCP server covers 6+ search platforms
• Single API key for all platforms
• Agent dynamically selects platform per query
• Drop-in replacement for Brave, Tavily, or Serper MCP
• Structured JSON reduces token consumption

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "react server components 2026 tutorial":

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 AI agent developers building with MCP-compatible tools (Claude Code, Cursor, Windsurf)

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