ScienceToStartup
DevelopersTrends

113 Cherry St #92768

Seattle, WA 98104-2205

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Proof

  • Proof Layer
  • Dashboard
  • Example paper page
  • Signal Canvas
  • Topic proof layer
  • Benchmark scoreboard
  • Public dataset
  • Evidence
  • Workspace
  • Terminal
  • Talent Layer
  • Build Loop

Developers

  • Overview
  • Start Here
  • REST API
  • MCP Server
  • Examples
  • OpenAI Guide
  • API Docs

Trends

  • Live Trends Desk
  • Operator Cycle
  • Founder Brief
  • Benchmark Movers

Resources

  • Resources Hub
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  • Benchmark
  • Database
  • Dataset
  • Calculator
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Comparison

ScienceToStartup is an Agent Operating System for Research Commercialization

API and MCP Platform for Turning Research Papers into Buildable Product Signals.

This page is the Claude-specific packaging of the same hosted MCP surface. It is useful when your main workflow is answer generation, planning, and stepwise tool use over proof surfaces.

Claude SetupMCP GuideCreate Key
Claude benefits from a retrieval layer that already understands papers, rankings, and product signals.
ScienceToStartup proof surfaces reduce ambiguity compared with generic web retrieval.
Use the Claude guide for setup and this page to understand when the fit is strongest.

Workflow

Query-led flow

  1. 1Install the remote MCP endpoint in Claude tooling.
  2. 2Authenticate once with the same developer key you use for REST and other hosted clients.
  3. 3Run paper or topic discovery through MCP tools and validate with public proof pages.
  4. 4Hand selected contexts into workspaces or downstream action flows.

Proof Surface Example

Topic proof layer

Durable research-area page with paper counts, trend direction, authors, and top questions.

Open proof surface

curl

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":"commercializable multimodal planning","limit":5}
    }
  }'

Python

import requests

payload = {
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
        "name": "search_papers",
        "arguments": {"query":"commercializable multimodal planning","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":"commercializable multimodal planning","limit":5},
    },
  }),
});

Canonical links

Claude installation guide

Connect the endpoint and test the tool list.

OpenAI integration

See the OpenAI-specific packaging for the same proof layer.

OpenAPI

Machine-readable REST contract for search, proof retrieval, Signal Canvas, and exports.

See the live proof surface

Example paper page

Stable evidence receipt, viability score, citations, and execution handoffs on one public example URL.

Signal Canvas

Citation-first answer surface that turns paper context into research-to-product judgment.

Topic proof layer

Durable research-area page with paper counts, trend direction, authors, and top questions.

Benchmark scoreboard

Weekly ranking surface for high-signal papers and ranked commercialization comparisons.

Public dataset

Machine-readable export surface for papers, scores, tags, and canonical identifiers.

Build Loop

Execution workspace that takes proof context into verify, export, and launch-pack actions.

Stable contracts and discovery files

Official SDKs

JavaScript and Python client surfaces plus example quickstarts for REST, MCP, and workspace flows.

OpenAPI

Machine-readable REST contract for search, proof retrieval, Signal Canvas, and exports.

MCP endpoint

Remote MCP server for discovery tools, resources, and workspace actions.

Capability index

Product graph covering proof surfaces, install paths, and canonical action flows.

llms.txt

Short routing file for agents choosing between proof, developer, and install surfaces.

llms-full.txt

Exhaustive corpus and contract inventory for retrieval systems and agent builders.