Scavio for MCP Custom Search Server

The Problem

AI assistants and IDE-based coding tools need web search access through MCP, but building a custom MCP search server from scratch requires handling multiple search provider APIs and response normalization.

How Scavio Helps

• Ready-made MCP endpoint at mcp.scavio.dev/mcp
• Multi-platform search through a single MCP interface
• Build custom MCP servers with business logic on top
• Structured responses optimized for LLM consumption
• Compatible with Claude Code, Cursor, and MCP-enabled tools

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "MCP search server custom build Google Reddit YouTube 2026":

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 AI tool developers, MCP server builders, and teams integrating search into AI assistants

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your mcp custom search server 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.