The Problem
Each new API integration for AI agents requires custom MCP server code. OpenAPI-to-MCP generation eliminates this boilerplate.
How Scavio Helps
- Auto-generate MCP from any OpenAPI spec
- Zero custom integration code
- Works with any REST API
- Native MCP servers available for major search APIs
- Combine generated and native MCP servers
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "openapi spec to mcp server":
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 AI tool developers building MCP server ecosystems
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your openapi to mcp server integration 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.