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List the Met Museum's curatorial departments. Returns departments[] each with departmentId and displayName. No arguments needed
Art Museums: Keyless art collection search from the Met Museum and Art Institute of Chicago
Art collection search from the Met Museum and Art Institute of Chicago.
Unlimited calls, no rate limits, custom domain.
claude mcp add datafaucet-sandbox https://datafaucet.dev/api/sandboxNew here? Start with these zero-config tools:
{departments: [{departmentId, displayName}]}curl -X POST https://datafaucet.dev/api/sandbox \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_met_departments","arguments":{}}}'import requests
response = requests.post(
"https://datafaucet.dev/api/sandbox",
json={
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "list_met_departments",
"arguments": {}
}
}
)
print(response.json())const response = await fetch("https://datafaucet.dev/api/sandbox", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
jsonrpc: "2.0",
id: 1,
method: "tools/call",
params: {
name: "list_met_departments",
arguments: {},
},
}),
});
const data = await response.json();
console.log(data.result.content[0].text);claude mcp add datafaucet-sandbox https://datafaucet.dev/api/sandbox
All 230 sandbox tools become available instantly. No API keys needed.
Why use MCP instead of calling the API directly?
Raw API
Auth, parsing, error handling, retries, types. ~2 hours per endpoint.
Via MCP
One config line. AI agent calls list_met_departments with zero integration code.
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