The Problem
Building an AI agent that searches Google, monitors TikTok, tracks Amazon prices, and reads Reddit requires integrating four separate APIs with four auth mechanisms, four rate limit patterns, and four response schemas. Each integration is a maintenance burden. When one provider changes their API, the agent breaks.
The Scavio Solution
Connect the agent to Scavio's MCP server at mcp.scavio.dev/mcp. The agent discovers available tools (search, tiktok, maps) through MCP tool listing and calls them through a single authenticated connection. Adding a new data source is a server-side update, not an agent code change.
Before
Agent code imports four SDKs, manages four API keys, handles four error formats. Adding YouTube support takes two weeks of integration work.
After
Agent connects to one MCP endpoint. Four data sources available immediately. Adding a new source requires zero agent code changes. MCP tool discovery handles it.
Who It Is For
Agent developers managing multiple API integrations who want to consolidate into a single MCP connection with automatic tool discovery.
Key Benefits
- Single MCP connection replaces multiple API integrations
- MCP tool discovery means zero-code new data sources
- One auth mechanism for all platforms
- Standard MCP protocol works with any compliant agent
- $0.005/credit covers all platforms
Python Example
import requests, os, json
API_KEY = os.environ["SCAVIO_API_KEY"]
MCP_URL = "https://mcp.scavio.dev/mcp"
# Agent discovers available tools via MCP
def mcp_call(method: str, params: dict = None) -> dict:
payload = {"jsonrpc": "2.0", "id": 1, "method": method}
if params:
payload["params"] = params
resp = requests.post(
MCP_URL,
headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
json=payload,
timeout=15,
)
return resp.json().get("result", {})
# List available tools
tools = mcp_call("tools/list")
print(f"Available tools: {[t['name'] for t in tools.get('tools', [])]}")
# Call search tool via MCP
search_result = mcp_call("tools/call", {
"name": "search",
"arguments": {"query": "best project management tools 2026", "country_code": "us"}
})
print(f"Search results: {json.dumps(search_result, indent=2)[:200]}")JavaScript Example
const MCP_URL = 'https://mcp.scavio.dev/mcp';
const H = {'Authorization': 'Bearer '+process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function mcpCall(method, params) {
const payload = {jsonrpc:'2.0', id:1, method};
if (params) payload.params = params;
const r = await fetch(MCP_URL, {method:'POST', headers:H, body:JSON.stringify(payload)});
return (await r.json()).result || {};
}
const tools = await mcpCall('tools/list');
console.log('Available tools:', (tools.tools||[]).map(t=>t.name));
const result = await mcpCall('tools/call', {name:'search', arguments:{query:'best project management tools 2026', country_code:'us'}});
console.log('Search results:', JSON.stringify(result).slice(0,200));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
Google Maps
Local business search with ratings and contact info