Jobs to Be Done
- Ship MCP servers that expose Google, Reddit, YouTube, and Amazon as tools
- Standardize web-data tool wrappers across client deployments
- Integrate with Claude Desktop, Cursor, and Copilot Studio
- Add enterprise DLP and logging in front of MCP tool calls
- Maintain a private MCP registry for internal teams
Common Workflows
One-shot MCP wrap
Wrap Scavio search as an MCP tool in under fifty lines and register it with Claude Desktop via mcp.json. The same server exposes five platforms behind one consistent schema.
Example: mcp.tool('scavio_search', scavio.google) -> claude desktop
DLP-gated MCP proxy
Deploy an MCP proxy that logs every tool call, redacts PII, and enforces per-team quotas before forwarding to the Scavio API. Required for enterprise MCP rollout.
Example: mcp.proxy(scavio).with(dlp, quota, audit_log)
Multi-tenant skill registry
Publish an internal MCP registry so each team installs a curated toolset. Scavio powers the search tool; team-specific tools ride alongside.
Example: registry.publish('scavio-search', v='1.2.0')
Cross-IDE deployment
Run the same MCP server against Claude Desktop, Cursor, and Copilot Studio so clients pick an IDE and inherit the full toolset unchanged.
Example: claude-desktop + cursor + copilot -> same mcp.json
Pain Points Scavio Solves
- Per-platform MCP tools force users to install ten servers
- Scraping proxies break MCP deployments without warning
- No consistent schema across platform-specific data tools
- Enterprise DLP requirements kill consumer-grade MCPs
Tools MCP Engineers Pair With Scavio
Claude Desktop, Cursor, Copilot Studio, mcp-python, mcp-typescript, 1Password Secrets. Scavio returns structured JSON that fits into any of these tools.
Quick Start
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={"query": "mcp.tool('scavio_google', params={q: 'best crm'})"},
)
data = response.json()
# Analyze results for your workflow
for result in data.get("organic_results", [])[:10]:
print(result["title"], "-", result["link"])Platforms You Will Use
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata
Amazon
Product search with prices, ratings, and reviews