Use Case
API and MCP Platform for Turning Research Papers into Buildable Product Signals.
This is the shortest path when you want ChatGPT, Cursor, Claude, or a custom agent to search research papers, inspect proof surfaces, and preserve source context without hand-writing a large REST adapter.
Workflow
Proof Surface Example
Stable evidence receipt, viability score, citations, and execution handoffs on one public example URL.
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_papers",
"arguments": {"query":"voice agents","limit":5}
}
}'Python
import requests
payload = {
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "search_papers",
"arguments": {"query":"voice agents","limit":5},
},
}
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_papers",
arguments: {"query":"voice agents","limit":5},
},
}),
});