The Problem
AI agents connected to separate MCP servers for Google, Amazon, YouTube, and social search consume thousands of tokens on tool definitions alone. Each server adds system prompt bloat and management overhead.
How Scavio Helps
- One MCP connection replaces 4-6 separate search MCP servers
- Reduce system prompt token overhead by removing redundant tool definitions
- Single URL: mcp.scavio.dev/mcp with one API key
- All 6 platforms accessible through the same MCP tools/call interface
- Simpler agent config: one server block instead of six
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Amazon
Product search with prices, ratings, and reviews
YouTube
Video search with transcripts and metadata
Walmart
Product search with pricing and fulfillment data
Community, posts & threaded comments from any subreddit
TikTok
Trending video, creator, and product discovery
Quick Start: Python Example
Here is a quick example searching Google for "consolidate mcp search servers single provider":
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 and platform engineers managing MCP server configurations
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your one mcp server for multi-platform search 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.