PubSec Radar

io.github.Kabrawala由 GitHub 帳號 Kabrawala 發布v0.1.0更新於 Oct 24, 2026

Federal sales intelligence: expiring-contract triggers, agency spend intel, deal qualification.

已驗證Streamable HTTP可網頁執行資料與分析商業與電商

概覽

AI 產生的概覽

遠端 MCP 伺服器,讓助理取得聯邦銷售情報:即將到期合約、機關支出概況、現任承包商查詢、發掘問題與交易資格評分。

可以做什麼
找出某機關即將到期的合約,包含現任承包商、金額與合約辦公室,作為重新招標的銷售觸發點。分析機關合約義務總額、三年趨勢、前十大供應商與 NAICS 類別。查詢某供應商目前與近期得標紀錄,並標記 12 個月內到期的替換窗口。依機關支出資料產生公共部門銷售發掘問題。依適用公共部門的 MEDDPICC 構面為交易評分並提出補足缺口的问题。
適用情境
適合在開發或準備與聯邦機關首次通話時使用,需要了解現任承包商是誰及其合約何時到期時使用,或在投入資源前檢驗聯邦交易時使用。
執行需求
遠端 streamable HTTP 端點;未宣告任何套件、環境變數或標頭。未宣告身分驗證。需要能連線至該託管端點的網路。
安裝前請注意
未宣告身分驗證,任何能連線至該端點的人都能查詢,請確認這是否符合你的資料要求。資料來自公開的聯邦支出資料,用於交易前應自行核實。這些工具為唯讀查詢與評分,未描述寫入或付費操作。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 PubSec Radar,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.Kabrawala%2Fpubsec-sales-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "pubsec-radar": {
      "type": "http",
      "url": "https://pubsec-sales-mcp.kabrawala.workers.dev/mcp"
    }
  }
}

工具

5

find_expiring_contracts

Find expiring federal contracts

Use this when prospecting or prepping a federal account and you want sales triggers: contracts at an agency that end soon, with the incumbent vendor, dollar values, and contracting office. Expiring contracts mean upcoming recompetes — the best time to displace an incumbent. Good queries name one agency and optionally a NAICS code, e.g. agency="DHS", naics_code="541512", window_days=90. Federal only (no state/local). Every response includes data-freshness and coverage caveats — read them; no data ≠ no spend.

輸入參數limitagency必填naics_codewindow_days

agency_spend_profile

Profile a federal agency's contract spending

Use this to answer "what does this agency actually buy, and from whom?" before a first call: total contract obligations, 3-year trend, top 10 vendors, and top 10 NAICS categories for the latest fiscal year with published data. Good queries name one agency, e.g. agency="HHS". Figures come from a daily snapshot of USAspending (latest published fiscal year plus a 3-year trend); the fiscal year and freshness are stated in the response. Federal only. Read the coverage caveats — in-progress fiscal years are partial, and intel-agency spend is never published.

輸入參數agency必填

incumbent_lookup

Look up an incumbent vendor's federal contracts

Use this to answer "who am I displacing and when?": a vendor name (plus optional agency scope) returns their current and recent awards with values and end dates, flagging awards that end within 12 months as displacement windows. Good queries use the vendor's registered name or a distinctive fragment, e.g. vendor="Booz Allen", agency="DHS". Federal only. Zero results ≠ no presence — check the caveats for name-matching tips.

輸入參數limitagencyvendor必填

generate_discovery_questions

Generate public-sector discovery questions

Use this when prepping a meeting with a federal agency: it returns discovery questions tuned to public-sector selling (fiscal-year timing, contract vehicles, FedRAMP/ATO, incumbents), grounded in the agency's live spending data where possible — each data-backed question cites the number that motivated it with a source URL. Good queries name the agency, what you sell, and the meeting type, e.g. agency="DHS", product_category="zero-trust network security", meeting_context="first_call". Add naics_code to surface expiring-contract questions.

輸入參數agency必填naics_codemeeting_contextproduct_category必填

qualify_opportunity

Qualify a federal opportunity (public-sector MEDDPICC)

Use this to pressure-test a federal deal: pass what you know per MEDDPICC dimension (leave unknowns empty) and get back an evidence-scored scorecard adapted for public sector — budget authority instead of generic economic buyer, procurement vehicle as the paper process — with gap-closing questions and public-record evidence pulled automatically (name the incumbent_vendor and their real awards/end dates at the agency get attached). Scores measure evidence specificity, not truth; the response says what verified evidence looks like for each dimension.

輸入參數agency必填deal_factsincumbent_vendorproduct_category必填estimated_value_usd

版本歷史

1
  1. v0.1.0最新Sep 16, 2026

評分

已滿足適用檢查項的 83%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。