FlowiseAI Integration
Integrate Scavio with FlowiseAI to give your no-code chatflows and agents real-time web search across Google, YouTube, Amazon, Walmart, Reddit, TikTok, and Instagram -- all from a single drag-and-drop node.
No code required
Introduction
The Scavio node is a real-time search tool for Flowise chatflows and agentflows. It returns clean, structured results (title, URL, description) that your LLM can read and reason over -- a cost-effective Tavily and SerpAPI alternative with broader platform coverage.
Step-by-Step Integration Guide
Step 1: Add the Scavio node
In the Flowise canvas, open the node panel and search for Scavio under Tools. Drag it onto your chatflow or agentflow.
Step 2: Connect your API key
On the node, click Connect Credential > Create New, choose Scavio API, and paste your key. Get one at dashboard.scavio.dev (new accounts get free credits, no card).
Step 3: Wire it to an agent
Connect the Scavio node's output to the Tools input of an Agent, Tool Agent, or Conversational Agent node. When the agent decides it needs fresh information, it calls Scavio automatically.
Available Options
The node exposes these optional parameters:
| Option | Description |
|---|---|
| Country (gl) | Two-letter country code for the result profile, e.g. us |
| Language (hl) | Two-letter interface language code, e.g. en |
| Device | Desktop or mobile result profile |
| Start | Result offset for pagination (0-based, 10 per page) |
Example
A research assistant chatflow: a Tool Agent with the Scavio node attached and this system prompt:
You are a research assistant. When the user asks about anything recent or
factual, use the Scavio tool to search the web, then answer with citations.Ask it "What are the top open-source AI agent frameworks in 2026?" and it will search with Scavio and answer from live results.
Every endpoint via MCP
Need Walmart, TikTok, Instagram, Maps, Shopping, and more inside Flowise? Add Scavio's hosted MCP server as a Custom MCP tool for the full catalog.
Benefits of Scavio + FlowiseAI
- No-code: drag, connect a key, done.
- Structured output: clean JSON your LLM can parse.
- Multi-platform: one key for Google, shopping, social, and more.
- Cost-effective: light requests cost a single credit.
Next Steps
- Google Search API -- full endpoint reference
- MCP Integration -- the full tool catalog