Quickstart

curl -X GET \
  -H "x-api-key: YOUR_API_KEY" \
  "https://api.learningcommons.org/knowledge-graph/v0/standards-frameworks?academicSubject=Mathematics&jurisdiction=Multi-State"

import os
import requests

# Setup
api_key = os.getenv("API_KEY")  # Your API key from Learning Commons Platform
base_url = os.getenv("BASE_URL")  # Your base URL from Learning Commons Platform; follows https://api.learningcommons.org/knowledge-graph/v0 format

headers = { "x-api-key": api_key }

response = requests.get(
    f"{base_url}/standards-frameworks",
    headers=headers,
    params={
        "academicSubject": "Mathematics",
        "jurisdiction": "Multi-State"
    }
)

result = response.json()
print(result)

const apiKey = process.env.API_KEY; // Your API key from Learning Commons Platform
const baseUrl = process.env.BASE_URL; // Your base URL from Learning Commons Platform

const response = await fetch(
  `${baseUrl}/standards-frameworks?academicSubject=Mathematics&jurisdiction=Multi-State`,
  {
    method: 'GET',
    headers: { 'x-api-key': apiKey }
  }
);

const data = await response.json();
console.log(data);

curl -X GET \
  -H "x-api-key: YOUR_API_KEY" \
  "https://api.learningcommons.org/knowledge-graph/v0/academic-standards?standardsFrameworkCaseIdentifierUUID=YOUR_UUID_FROM_STEP_1"

import os
import requests

# Setup
api_key = os.getenv("API_KEY")  # Your API key from Learning Commons Platform
base_url = os.getenv("BASE_URL")  # Your base URL from Learning Commons Platform
framework_uuid = "YOUR_UUID_FROM_STEP_1"  # Copy from Step 1 response

# Make request
headers = {
    "x-api-key": api_key
}

response = requests.get(
    f"{base_url}/academic-standards",
    headers=headers,
    params={
        "standardsFrameworkCaseIdentifierUUID": framework_uuid
    }
)

result = response.json()
print(result)

const apiKey = process.env.API_KEY; // Your API key from Learning Commons Platform
const baseUrl = process.env.BASE_URL; // Your base URL from Learning Commons Platform
const frameworkUuid = "YOUR_UUID_FROM_STEP_1"; // From Step 1 response

const response = await fetch(
  `${baseUrl}/academic-standards?standardsFrameworkCaseIdentifierUUID=${frameworkUuid}`,
  {
    method: 'GET',
    headers: {
      'x-api-key': apiKey
    }
  }
);

const data = await response.json();
console.log(data);

import os
import requests
from dotenv import load_dotenv

load_dotenv()

response = requests.post(
    "https://api.openai.com/v1/responses",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.getenv('OPENAI_API_KEY')}",
    },
    json={
        "model": "gpt-4o",
        "tools": [
            {
                "type": "mcp",
                "server_label": "learning-commons-kg",
                "server_url": os.getenv("MCP_SERVER_URL"),
                "require_approval": "never",
                "headers": {"x-api-key": os.getenv("MCP_AUTH_KEY")},
            }
        ],
        "input": "What are the learning components for California standard 4.OA.A.3?",
    },
)

print(response.json())

import "dotenv/config";

const response = await fetch("https://api.openai.com/v1/responses", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
  },
  body: JSON.stringify({
    model: "gpt-4o",
    tools: [
      {
        type: "mcp",
        server_label: "learning-commons-kg",
        server_url: process.env.MCP_SERVER_URL,
        require_approval: "never",
        headers: {"x-api-key": process.env.MCP_AUTH_KEY},
      },
    ],
    input: "What are the learning components for California standard 4.OA.A.3?",
  }),
});

console.log(await response.json());