The Problem
Research tasks in Claude require manual copy-pasting of search results or switching between browser and chat. MCP integration lets Claude search directly within the conversation, maintaining context and providing cited answers.
How Scavio Helps
- Claude searches and synthesizes without leaving the conversation
- Multi-platform research from one MCP connection
- Citations from Google, Reddit, and YouTube in responses
- Prompt caching reduces cost on multi-turn research sessions
- Free tier covers 250 research searches per month
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching Google for "An analyst asks Claude to compare pricing for 5 project management tools. Claude makes 5 search calls via MCP, extracts current pricing from each tool's website, and produces a comparison table with citations. 5 searches at $0.025 total. The analyst asks follow-up questions within the same session; prompt caching reduces subsequent turn costs by 60-80%.":
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for Researchers using Claude, analysts building reports, teams using Claude for market research
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your claude mcp research workflow solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.