The Problem
An r/legaltech post explored Claude MCP to Court Listener. The piece missing from most legal-research MCPs is open-web context. Scavio's hosted MCP fills it: analyst commentary, regulatory news, Reddit r/legaltech threads with author and timestamp metadata.
How Scavio Helps
- Open-web context layer
- Reddit r/legaltech and r/europrivacy
- Pairs with Court Listener for case law
- Per-query cost $0.0043 vs PACER $0.10/page
- MCP-attachable in Claude Code
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
Quick Start: Python Example
Here is a quick example searching Google for "EU AI Act amendment commentary plus official text":
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 Legal tech builders, in-house legal teams, paralegals running automated research, compliance leads
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your court listener mcp legal research agent solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.