PubSec Radar

io.github.Kabrawala/pubsec-sales-mcpVersion 0.1.0

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

Status

Responds584 msNov 14, 2026, 14:39 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:39 UTC
Latency: 584 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://pubsec-sales-mcp.kabrawala.workers.dev/mcpResponds584 msNov 14, 2026, 14:39 UTC

No sign-in

Claude Code

claude mcp add --transport http pubsec-sales-mcp https://pubsec-sales-mcp.kabrawala.workers.dev/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: pubsec-sales-mcp
Remote MCP server URL: https://pubsec-sales-mcp.kabrawala.workers.dev/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"pubsec-sales-mcp","type":"http","url":"https://pubsec-sales-mcp.kabrawala.workers.dev/mcp"}'

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Tools

5 tools

Tools of PubSec Radar
	Description		Read-only	Idempotent	Open world
`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 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.	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.	Not declared	Not declared	Not declared	Not declared
`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 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.	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.	Not declared	Not declared	Not declared	Not declared
`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 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.	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.	Not declared	Not declared	Not declared	Not declared
`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, e.g. vendor="Booz Allen", agency="DHS". Federal only. Zero results ≠ no presence — check the caveats for name-matching tips.	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.	Not declared	Not declared	Not declared	Not declared
`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 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.	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.	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Jul 6, 2026
Updated: Jul 6, 2026
Website: https://pubsec-sales-mcp.kabrawala.workers.dev/⁠ (opens in a new tab)
Repository: Not given
Categories (suggested): CRMSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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