El arnés OpenCode ejecuta agentes de codificación, pero carecen de acceso web para buscar documentación actual y referencias de API. Agregar un servidor MCP de búsqueda brinda a los agentes de OpenCode la capacidad de verificar hechos, verificar versiones de paquetes y encontrar documentación antes de generar código. La configuración tarda 3 minutos.
Requisitos previos
- Arnés OpenCode instalado
- Node.js 18+ o Python 3.8+
- Una clave API de Scavio de scavio.dev
- Conocimientos básicos de configuración de MCP
Guia paso a paso
Paso 1: Agregue el servidor MCP a la configuración de OpenCode
Configure el servidor MCP de búsqueda en la configuración de OpenCode.
Python
import json, os
# OpenCode MCP configuration
opencode_mcp = {
'mcpServers': {
'scavio-search': {
'command': 'npx',
'args': ['-y', 'scavio-search-mcp'],
'env': {
'SCAVIO_API_KEY': os.environ.get('SCAVIO_API_KEY', 'your-key-here')
}
}
}
}
# Save to OpenCode config
config_path = os.path.expanduser('~/.opencode/mcp.json')
print(f'OpenCode MCP config: {config_path}')
print(json.dumps(opencode_mcp, indent=2))
print(f'\nThis gives OpenCode agents these tools:')
print(f' - web_search: Search Google, Reddit, Amazon, YouTube')
print(f' - extract: Read content from any URL')
print(f' - tiktok_search: Search TikTok videos and profiles')Paso 2: Pruebe la herramienta de búsqueda de OpenCode
Verifique que la conexión MCP funcione ejecutando búsquedas de prueba.
Python
import os, requests
API_KEY = os.environ['SCAVIO_API_KEY']
SH = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
def test_opencode_search(query):
"""Test the search tool as OpenCode would call it."""
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': query, 'country_code': 'us', 'num_results': 5}).json()
results = data.get('organic_results', [])
return [{'title': r.get('title', ''), 'snippet': r.get('snippet', ''),
'link': r.get('link', '')} for r in results[:5]]
# Coding-relevant test queries
tests = [
('Package lookup', 'pydantic v2 latest version'),
('API docs', 'fastapi websocket documentation'),
('Error fix', 'python asyncio RuntimeError event loop'),
('Best practice', 'python project structure 2026'),
]
for label, query in tests:
results = test_opencode_search(query)
print(f' [{label}] "{query}" -> {len(results)} results')
if results:
print(f' Top: {results[0]["title"][:50]}')
print(f'\nAll tests passed. Cost: ${len(tests) * 0.005:.3f}')Paso 3: Optimizar la búsqueda de flujos de trabajo de codificación
Configure patrones de búsqueda que funcionen mejor para consultas relacionadas con código.
Python
def coding_search(query, search_type='docs'):
"""Optimized search for different coding needs."""
suffixes = {
'docs': 'documentation official',
'error': 'fix solution stackoverflow',
'version': 'latest version release notes',
'example': 'code example tutorial',
}
enhanced_query = f'{query} {suffixes.get(search_type, "")}'
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': enhanced_query, 'country_code': 'us', 'num_results': 5}).json()
results = data.get('organic_results', [])
return [{'title': r.get('title', ''), 'url': r.get('link', ''),
'snippet': r.get('snippet', '')} for r in results[:5]]
print('=== Coding Search Patterns ===')
for stype in ['docs', 'error', 'version', 'example']:
results = coding_search('fastapi', stype)
print(f'\n [{stype}] fastapi: {len(results)} results')
if results:
print(f' {results[0]["title"][:60]}')
print(f'\nCost: $0.020')Ejemplo en Python
Python
import os, requests
SH = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}
def opencode_search(query):
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': f'{query} documentation', 'country_code': 'us'}).json()
for r in data.get('organic_results', [])[:3]:
print(f' {r["title"]}: {r.get("link", "")}')
opencode_search('pydantic v2')
print('Cost: $0.005')Ejemplo en JavaScript
JavaScript
const SH = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
const data = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: SH,
body: JSON.stringify({ query: 'pydantic v2 documentation', country_code: 'us' })
}).then(r => r.json());
(data.organic_results || []).slice(0, 3).forEach(r => console.log(`${r.title}: ${r.link}`));Salida esperada
JSON
OpenCode MCP config: ~/.opencode/mcp.json
[Package lookup] "pydantic v2 latest version" -> 5 results
Top: Pydantic V2 Release Notes
[API docs] "fastapi websocket documentation" -> 5 results
Top: WebSockets - FastAPI Documentation
[Error fix] "python asyncio RuntimeError event loop" -> 5 results
[Best practice] "python project structure 2026" -> 5 results
All tests passed. Cost: $0.020