AI assistants are most useful when they can reach beyond their training data. If you ask Claude to compare headphone prices on Amazon, or pull the transcript from a YouTube video, it needs a way to call those APIs in real time. Until now, connecting Scavio to your AI assistant meant writing code -- a LangChain tool, an OpenClaw skill, or a direct API call.
Today, Scavio supports the Model Context Protocol (MCP). This means you can connect Scavio to Claude, Cursor, Windsurf, VS Code, ChatGPT, and any other MCP-compatible client with a single config -- no code required.
What Is MCP?
MCP is an open standard created by Anthropic for connecting AI assistants to external tools and data sources. Instead of building custom integrations for every AI client, a service publishes one MCP server and every compatible client can connect to it. Think of it as a USB-C port for AI tools: one plug, every device.
Scavio's MCP server runs at https://mcp.scavio.dev/mcp and uses HTTP transport, so there is nothing to install locally. Your AI assistant connects directly over the network.
What Your AI Assistant Gets
Once connected, your assistant has access to 9 tools covering four platforms:
Tool
What it does
search_google
Web search with knowledge graph, People Also Ask, news, images, maps
search_amazon
Search Amazon products with price and sort filters
get_amazon_product
Full product details by ASIN
search_walmart
Search Walmart products with delivery and price filters
get_walmart_product
Full product details by product ID
search_youtube
Search videos, channels, and playlists
get_youtube_metadata
Video title, views, likes, duration, channel info
get_usage
Check credit balance and plan details
Quick Setup: Claude Code
One command:
claude mcp add --transport http scavio https://mcp.scavio.dev/mcp \\
--header "x-api-key: YOUR_SCAVIO_API_KEY"Verify with claude mcp list. Your Claude Code session now has access to all 9 tools.
Quick Setup: Cursor
Go to Settings > Tools & MCP > + Add New MCP Server, select HTTP, and enter:
- Name:
scavio - URL:
https://mcp.scavio.dev/mcp - Headers:
x-api-key: YOUR_SCAVIO_API_KEY
Or add this to .cursor/mcp.json:
{
"mcpServers": {
"scavio": {
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}
}
}Quick Setup: VS Code
Create .vscode/mcp.json in your project root:
{
"servers": {
"scavio": {
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}
}
}Open the Command Palette and run MCP: List Servers to confirm.
Works Everywhere
The same config pattern works with Claude Desktop, Windsurf, ChatGPT, Cline, Zed, and any other MCP-compatible client. The universal config is just three fields:
{
"type": "http",
"url": "https://mcp.scavio.dev/mcp",
"headers": {
"x-api-key": "YOUR_SCAVIO_API_KEY"
}
}For step-by-step instructions for every supported client, see the full MCP integration guide.
Get Started
Sign up at dashboard.scavio.dev to get your API key. The free tier includes 250 credits per month -- no credit card required. Each MCP tool call costs 1 credit (light mode) or 2 credits (full mode with knowledge graphs, People Also Ask, and more).
Read the MCP integration docs for the complete setup guide, available tools reference, and troubleshooting tips.