Find the most-starred repositories matching a query, sorted by stars. Supports qualifiers like 'stars:>500 language:rust'. Returns items[] with full_name, description, stargazers_count, language, html_url
GitHub Search: Keyless GitHub search for users, topics, commits, and trending repositories
Search GitHub users, topics, commits, and trending repos. No token needed.
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 | Repo search sorted by stars; supports stars:> qualifiers |
{total_count, items: [{full_name, description, stargazers_count, language, html_url}]}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_trending","arguments":{"query":"language:typescript"}}}'import requests
response = requests.post(
"https://datafaucet.dev/api/sandbox",
json={
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "search_trending",
"arguments": {
"query": "language:typescript"
}
}
}
)
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_trending",
arguments: {
"query": "language:typescript"
},
},
}),
});
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 search_trending with zero integration code.
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No signup, no API key. Works with Claude, Cursor, Windsurf, and any MCP client.