The Problem
Business teams want AI agents that combine web intelligence with internal data (CRM, ERP, inventory) but building custom integrations for each internal API takes weeks of engineering time.
How Scavio Helps
- Convert any OpenAPI/Swagger spec to MCP server automatically
- Combine internal API data with Scavio web search in one agent session
- Zero custom integration code for standard REST APIs
- Agent discovers internal and external tools via MCP protocol
- Web search for market context + internal APIs for business data in one workflow
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "openapi mcp server generator setup guide":
Python
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 Operations teams and developers integrating internal APIs with AI agents
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your mcp custom api integration for business operations 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.