Overview
Cursor's background agent generates code from stale training data. This workflow adds MCP-based web search so the agent can verify package versions, check current API documentation, and confirm library function signatures before writing code. Reduces the rate of deprecated API suggestions and wrong version references.
Trigger
Automatic on Cursor agent search tool call
Schedule
Automatic on agent search calls
Workflow Steps
Configure MCP server
Add the search MCP server to .cursor/mcp.json with your API key. Cursor automatically discovers and exposes the search tool to the agent.
Agent detects knowledge gap
During code generation, the agent recognizes when it needs current information: package versions, API endpoints, or library signatures.
Search for current docs
The agent calls the MCP search tool with a targeted query like 'react-router v7 useNavigate API' to get current documentation.
Verify and apply
The agent cross-references search results with its training data, preferring current documentation when they conflict.
Python Implementation
# .cursor/mcp.json configuration
# {
# "mcpServers": {
# "search": {
# "url": "https://mcp.scavio.dev/mcp",
# "headers": { "x-api-key": "your-key" }
# }
# }
# }
# The agent uses the MCP tool automatically. Here's how the search works internally:
import requests, os
H = {"x-api-key": os.environ["SCAVIO_API_KEY"], "Content-Type": "application/json"}
def verify_package_version(package_name, language="python"):
"""Check current package version before installing."""
r = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
json={"platform": "google",
"query": f"{package_name} latest version {language} 2026"}).json()
for o in r.get("organic", [])[:3]:
snippet = o.get("snippet", "")
if "version" in snippet.lower() or "v" in snippet.lower():
return {"package": package_name, "source": o.get("title", ""),
"snippet": snippet[:150]}
return {"package": package_name, "source": "not found", "snippet": ""}
info = verify_package_version("langchain")
print(f"{info['package']}: {info['snippet']}")JavaScript Implementation
// .cursor/mcp.json
// {
// "mcpServers": {
// "search": {
// "url": "https://mcp.scavio.dev/mcp",
// "headers": { "x-api-key": "your-key" }
// }
// }
// }
const H = {"x-api-key": process.env.SCAVIO_API_KEY, "Content-Type": "application/json"};
async function verifyPackageVersion(packageName, language = "javascript") {
const r = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({platform: "google",
query: `${packageName} latest version ${language} 2026`})
}).then(r => r.json());
for (const o of (r.organic || []).slice(0, 3)) {
const snippet = o.snippet || "";
if (snippet.toLowerCase().includes("version") || snippet.includes("v")) {
return {package: packageName, source: o.title || "", snippet: snippet.slice(0, 150)};
}
}
return {package: packageName, source: "not found", snippet: ""};
}
verifyPackageVersion("next").then(i =>
console.log(`${i.package}: ${i.snippet}`)
);Platforms Used
Web search with knowledge graph, PAA, and AI overviews