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io.github.Kabrawala/pubsec-sales-mcp · v0.1.0

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

MCPremoteno credentialsTransportCalendarCRM & sales

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 5 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 83/100

What it does: 5 tools · 1 read, 1 write · Developer tools, Calendar, E-commerce

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://pubsec-sales-mcp.kabrawala.workers.dev/mcp

Tools

5 tools listed at last check
  • find_expiring_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 age
  • agency_spend_profile 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 dail
  • incumbent_lookup 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
  • generate_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 motivat
  • qualify_opportunity 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 a

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