Scavio for MCP Connection Troubleshooting

The Problem

MCP servers fail to connect with cryptic errors: 404 Not Found, 'Failed to connect', or tools silently not appearing in the agent's tool list. Debugging requires checking transport type, URL format, authentication, and server health.

How Scavio Helps

• Systematic checklist eliminates guesswork in MCP debugging
• Covers the four common failure modes (transport, URL, auth, server)
• Works for both hosted MCP (Scavio, Tavily) and local servers
• curl-based verification confirms server health before client config
• 15-minute resolution for most connection issues

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "A developer gets '404 Not Found' connecting BetterStack MCP to Claude Code. Following the checklist: verify URL has correct path suffix (/mcp), confirm transport type matches (HTTP not stdio), test with curl to isolate client vs server issue, check API key is in the correct header. Issue was a missing /mcp path suffix. Fix applied, connection succeeds.":

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 Developers integrating MCP servers with Claude Code, Cursor, VS Code, or Windsurf agents

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your mcp connection troubleshooting solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.