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io.github.Kabrawala/pubsec-sales-mcp · v0.1.0
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 5 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Federal sales intelligence: expiring-contract triggers, agency spend intel, deal qualification.
Connect
streamable-http · https://pubsec-sales-mcp.kabrawala.workers.dev/mcp
claude mcp add --transport http pubsec-sales-mcp https://pubsec-sales-mcp.kabrawala.workers.dev/mcp{
"mcpServers": {
"pubsec-sales-mcp": {
"url": "https://pubsec-sales-mcp.kabrawala.workers.dev/mcp"
}
}
}Tools as reported by the server
find_expiring_contractsUse 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 ageagency_spend_profileUse 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 dailincumbent_lookupUse 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 fragmentgenerate_discovery_questionsUse 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 motivatqualify_opportunityUse 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
Website · JSON · Text for agents · Registry updated 2026-07-06