美國聯邦受款方搜尋 (公司 / 非營利 / 大學)
us_search_recipients
台灣專屬MIT
**關鍵字 / Keywords**: 美國政府 受款方 承包商 廠商 vendor recipient contractor parent child subsidiary UEI DUNS 公司 非營利 nonprofit university state foreign USASpending federal awardee Lockheed Boeing SpaceX Palantir
Scope: entities (companies / nonprofits / universities / states /
foreign) that received federal awards, rolled up to the parent /
child recipient level.
Endpoint:
POST https://api.usaspending.gov/api/v2/recipient/
Args:
keyword: recipient-name substring (case-insensitive).
award_group: filter by award category — `"all"` (default) ·
`"contracts"` · `"grants"` · `"loans"` ·
`"direct_payments"` · `"other_financial_assistance"`.
page: 1-based page number.
limit: rows per page (max 100).
sort: `"amount"` (default) · `"name"` · `"duns"` · `"uei"`.
order: `"asc"` | `"desc"`.
Returns dict with `results` — each row `{id, duns, uei, name,
recipient_level, amount, profile_url}`. `id` suffix tags recipient
level: `-P` parent · `-C` child · `-R` orphan. License:
"Creative Commons Zero v1.0 Universal (CC0-1.0)". Rate-limited
to ~5 req/sec.輸入 schema
{
"properties": {
"keyword": {
"title": "Keyword",
"type": "string"
},
"award_group": {
"default": "all",
"title": "Award Group",
"type": "string"
},
"page": {
"default": 1,
"title": "Page",
"type": "integer"
},
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
},
"sort": {
"default": "amount",
"title": "Sort",
"type": "string"
},
"order": {
"default": "desc",
"title": "Order",
"type": "string"
}
},
"required": [
"keyword"
],
"title": "us_search_recipientsArguments",
"type": "object"
}呼叫方式
配置好 Twinkle Hub 的 MCP client 後，agent 會看到 us_search_recipients。直接讓它呼叫即可，例如：
# Ask Claude / any MCP client: 請用 us_search_recipients 處理 "…"。 # It will call: us_search_recipients(input="…")
尚未設定 Client？
Claude Desktop 約 3 分鐘即可完成設定 — 下載 .mcpb 檔案並雙擊即可，或參閱文件中的各 Client 安裝步驟。
查看使用者設定文件