The Problem
Teams pay for separate SaaS subscriptions for SEO monitoring, brand tracking, competitor analysis, and lead enrichment. Each tool has its own dashboard, API, and billing. The data sits in silos. An AI agent that needs cross-tool data must integrate with five different APIs, each with its own auth, rate limits, and schema.
The Scavio Solution
Replace multiple SaaS tools with Scavio's MCP server, which exposes search, TikTok, and multi-platform data through a single Model Context Protocol connection. An AI agent connects to mcp.scavio.dev/mcp and gets search, brand monitoring, competitor tracking, and lead enrichment from one interface. One bill, one auth, one schema.
Before
Team pays for SEMrush ($129/mo), Brandwatch ($800/mo), and Hunter.io ($49/mo). Agent integrates with three APIs. Data lives in three dashboards. Monthly SaaS spend: $978+.
After
Agent connects to Scavio MCP. Search, brand monitoring, and enrichment via one interface. Monthly spend: $30/mo for 7K credits. Savings: $948/mo.
Who It Is For
Teams paying for multiple SaaS tools for SEO, brand monitoring, and social tracking who want to consolidate into one API and one bill.
Key Benefits
- One MCP connection replaces multiple SaaS subscriptions
- AI agent accesses all data through single protocol
- 90%+ cost reduction vs separate tool subscriptions
- No dashboard switching or data silo problems
- MCP standard works with Claude, GPT, and open-source agents
Python Example
import requests, os
API_KEY = os.environ["SCAVIO_API_KEY"]
SEARCH_URL = "https://api.scavio.dev/api/v1/search"
TIKTOK_URL = "https://api.scavio.dev/api/v1/tiktok"
HEADERS_SEARCH = {"x-api-key": API_KEY, "Content-Type": "application/json"}
HEADERS_TIKTOK = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}
# One API replaces SEO tool + brand monitor + social tracker
def seo_check(query: str) -> dict:
resp = requests.post(SEARCH_URL, headers=HEADERS_SEARCH, json={"query": query, "country_code": "us"}, timeout=10)
return {"organic_count": len(resp.json().get("organic_results", []))}
def brand_monitor(brand: str) -> dict:
resp = requests.post(SEARCH_URL, headers=HEADERS_SEARCH, json={"query": f"{brand} reviews 2026", "country_code": "us"}, timeout=10)
data = resp.json()
return {"mentions": len(data.get("organic_results", [])), "ai_overview": bool(data.get("ai_overview"))}
def tiktok_track(keyword: str) -> dict:
resp = requests.post(f"{TIKTOK_URL}/search", headers=HEADERS_TIKTOK, json={"keyword": keyword}, timeout=15)
return {"videos": len(resp.json().get("videos", []))}
# All three checks with one API key
print(seo_check("scavio search api"))
print(brand_monitor("scavio"))
print(tiktok_track("search api"))JavaScript Example
const HS = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
const HT = {'Authorization': 'Bearer '+process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function seoCheck(query) {
const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:HS, body:JSON.stringify({query, country_code:'us'})});
return {organicCount:(await r.json()).organic_results?.length||0};
}
async function brandMonitor(brand) {
const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:HS, body:JSON.stringify({query:brand+' reviews 2026', country_code:'us'})});
const d = await r.json();
return {mentions:(d.organic_results||[]).length, aiOverview:!!d.ai_overview};
}
async function tiktokTrack(keyword) {
const r = await fetch('https://api.scavio.dev/api/v1/tiktok/search', {method:'POST', headers:HT, body:JSON.stringify({keyword})});
return {videos:(await r.json()).videos?.length||0};
}
console.log(await seoCheck('scavio search api'));
console.log(await brandMonitor('scavio'));
console.log(await tiktokTrack('search api'));Platforms Used
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Community, posts & threaded comments from any subreddit
TikTok
Trending video, creator, and product discovery
Amazon
Product search with prices, ratings, and reviews