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List all 200 sample todos with title and completed status per user
JSONPlaceholder: Mock REST API with posts, users, comments, todos, albums, and photos
Deploy your own REST server with real database and custom endpoints.
Unlimited calls, no rate limits, custom domain.
claude mcp add datafaucet-sandbox https://datafaucet.dev/api/sandboxNew here? Start with these zero-config tools:
[{id, title, completed, userId}]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_todos","arguments":{}}}'import requests
response = requests.post(
"https://datafaucet.dev/api/sandbox",
json={
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "list_todos",
"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_todos",
arguments: {},
},
}),
});
const data = await response.json();
console.log(data.result.content[0].text);claude mcp add datafaucet-sandbox https://datafaucet.dev/api/sandbox
All 103 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_todos with zero integration code.
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