The Problem
Claude Code agents that fetch raw HTML burn ~10x more tokens than necessary. A 60KB page averages ~30K tokens raw vs ~3K as markdown.
The Scavio Solution
Replace raw-HTML fetch tools with Scavio /extract endpoint via the hosted MCP server. Claude Code attaches mcp.scavio.dev/mcp and gets a clean extract tool that returns markdown.
Before
Per-task input tokens ~30K-60K; per-task LLM cost ~$0.10-0.30 on Sonnet 4.6.
After
Per-task input tokens ~3K-5K; per-task LLM cost ~$0.01-0.03 on the same Sonnet 4.6.
Who It Is For
Claude Code skill authors, agent builders processing web pages, RAG pipeline maintainers, anyone shipping LLM agents past prototype scale.
Key Benefits
- 10x reduction in input tokens for HTML-heavy tasks
- Hosted MCP — zero infrastructure
- Same MCP server provides search, reddit, youtube, amazon, walmart
- Drop-in replacement for raw-HTML fetch tools
- Free 250 credits/mo covers prototyping
Python Example
Python
import os, requests
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def extract(url):
return requests.post('https://api.scavio.dev/api/v1/extract', headers=H, json={'url': url, 'format': 'markdown'}).json().get('markdown', '')JavaScript Example
JavaScript
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
async function extract(url) {
const r = await fetch('https://api.scavio.dev/api/v1/extract', { method:'POST', headers:H, body: JSON.stringify({ url, format: 'markdown' }) }).then(r => r.json());
return r.markdown || '';
}Platforms Used
Web search with knowledge graph, PAA, and AI overviews