The Problem
opencode agents work from training data that may be months old. They recommend deprecated APIs, wrong package versions, and invent function signatures. Adding web search via MCP lets the agent verify facts before writing code.
How Scavio Helps
- Agent verifies documentation before writing code
- One MCP config line adds web search capability
- Free tier covers development and testing use
- Prevents deprecated API recommendations
- Hosted MCP requires no local server setup
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "A developer adds Scavio MCP to opencode.json. The agent is asked to integrate a payment API. Instead of guessing from training data, it searches for current documentation, finds the latest endpoint structure, and writes correct code. 3-5 verification searches per coding task at $0.015-0.025. Free tier (250/month) covers 50-80 coding tasks.":
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 opencode users, developers configuring MCP tools, teams using AI coding agents
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your opencode mcp web search integration 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.