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 (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.