The Problem
Custom agent builds historically took weeks because of stitching multiple data vendors, writing tool wrappers, and building observability. Claude Code with MCP-native tool calling plus Scavio's multi-platform MCP server compresses build time. Day 1: skill files plus MCP attachment. Day 2: orchestration plus output.
How Scavio Helps
- 2-day end-to-end agent builds
- MCP-native tool calling
- Skill files as the primary code surface
- Multi-platform data from one MCP
- Same agent code across surfaces
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching Google for "build b2b prospecting agent in 2 days":
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 Indie agent builders, hackathon teams, founders prototyping data-layer products
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your claude code rapid agent build (2-day pattern) solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.