Comparison
Use Cursor MCP with ScienceToStartup to search papers, inspect proof surfaces, and move into execution workflows.
This page packages ScienceToStartup for the Cursor ecosystem. It explains why remote MCP is the fastest path to paper discovery and proof retrieval inside a coding workflow.
Workflow
Proof Surface Example
Citation-first answer surface that turns paper context into research-to-product judgment.
Open proof surfacecurl
curl -X POST "https://sciencetostartup.com/api/mcp" \
-H "Authorization: Bearer s2s_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "search_signal_canvas",
"arguments": {"query":"Which benchmark movers matter this week?","mode":"corpus"}
}
}'Python
import requests
payload = {
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "search_signal_canvas",
"arguments": {"query":"Which benchmark movers matter this week?","mode":"corpus"},
},
}
response = requests.post(
"https://sciencetostartup.com/api/mcp",
headers={
"Authorization": "Bearer s2s_YOUR_KEY",
"Content-Type": "application/json",
},
json=payload,
timeout=30,
)TypeScript
const response = await fetch("https://sciencetostartup.com/api/mcp", {
method: "POST",
headers: {
Authorization: "Bearer s2s_YOUR_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({
jsonrpc: "2.0",
id: 1,
method: "tools/call",
params: {
name: "search_signal_canvas",
arguments: {"query":"Which benchmark movers matter this week?","mode":"corpus"},
},
}),
});