PubSec Radar

io.github.Kabrawala由 GitHub 账号 Kabrawala 发布v0.1.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行数据与分析商业与电商

概览

AI 生成的概览

远程 MCP 服务器,为助手提供联邦销售情报:即将到期合同、机构支出概况、现有承包商查询、发现问题和交易资格评分。

可以做什么
查找某机构即将到期的合同,含现有承包商、金额和合同办公室,作为重新招标的销售触发点。分析机构合同义务总额、三年趋势、前十大供应商和 NAICS 类别。查询某供应商当前及近期中标记录,并标记 12 个月内到期的置换窗口。基于机构支出数据生成公共部门销售发现性问题。按适配公共部门的 MEDDPICC 维度为交易打分并给出补缺问题。
适用场景
适合在开发或准备与联邦机构首次通话时使用,需要了解现有承包商是谁及其合同何时到期时使用,或在投入资源前检验联邦交易时使用。
运行要求
远程 streamable HTTP 端点;未声明任何软件包、环境变量或请求头。未声明身份验证。需要能访问该托管端点的网络。
安装前请注意
未声明身份验证,任何能访问该端点的人都可以查询,请确认这是否符合你的数据要求。数据来自公开的联邦支出数据,用于交易前应自行核实。这些工具为只读查询与评分,未描述写入或付费操作。

安装

在 SourceWeft 中

  1. 打开 控制台中的 PubSec Radar,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.Kabrawala%2Fpubsec-sales-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数agency必填deal_factsincumbent_vendorproduct_category必填estimated_value_usd

版本历史

1
  1. v0.1.0最新Sep 16, 2026

评分

已满足适用检查项的 83%

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