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Search Wikidata for entities (people, companies, places, concepts) by name. Returns results[] each with id (Q-number), label, description, and match info
Wikidata: Structured entity facts about people, companies, and places from the Wikidata knowledge graph
Structured entity facts about people, companies, and places from Wikidata.
Unlimited calls, no rate limits, custom domain.
claude mcp add datafaucet-sandbox https://datafaucet.dev/api/sandboxNew here? Start with these zero-config tools:
| Name | Required | Description |
|---|---|---|
| query | yes | Name of a person, company, place, or concept |
{results: [{id, label, description, url, match: {type, text}}]}curl -X POST https://datafaucet.dev/api/sandbox \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_entities","arguments":{"query":"Ada Lovelace"}}}'import requests
response = requests.post(
"https://datafaucet.dev/api/sandbox",
json={
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "search_entities",
"arguments": {
"query": "Ada Lovelace"
}
}
}
)
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: "search_entities",
arguments: {
"query": "Ada Lovelace"
},
},
}),
});
const data = await response.json();
console.log(data.result.content[0].text);claude mcp add datafaucet-sandbox https://datafaucet.dev/api/sandbox
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Raw API
Auth, parsing, error handling, retries, types. ~2 hours per endpoint.
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One config line. AI agent calls search_entities with zero integration code.
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