Govcon Intel
Server Details
GovCon Intel MCP — Compound tools that chain SAM.gov, USAspending,
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- Status
- Unhealthy
- Uptime
- 27.5% over 43 days
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 39 tools
Several clusters of near-overlapping tools exist: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all route natural-language questions over the same 6,216 tools, while polymarket_edges, polymarket_arbitrage, polymarket_edge_tracker, polymarket_fill_risk, polymarket_kalshi_spread, and bet_research all hunt prediction-market mispricings. Individual descriptions are detailed, but an agent would struggle to reliably pick the right one among these groups.
Naming mixes several conventions: verb_noun (validate_claim, discover_tools, resolve_entity), noun phrases (company_facts, entity_profile, release_calendar_markets), bare verbs (remember, recall, forget), and prefixed groups (govcon_*, polymarket_*, pipeworx_*). The snake_case style is consistent, but the verb/noun positioning and patterns are not.
39 tools is heavy, especially for a server whose name suggests a narrow 'Govcon Intel' purpose. Even as a broad data-research platform, the count includes meta-tools (memory, subscriptions, feedback, discovery, onboarding) mixed with domain tools, making the set feel sprawling rather than well-scoped.
The govcon surface is thin for the server's stated name: only three explicit govcon tools (agency landscape, contractor profile, opportunity scan) plus federal-contract fields inside entity_profile, with no direct award lookup by ID and no govcon-specific updates/actions. Meanwhile the bulk of the toolset covers unrelated domains (prediction markets, AI visibility, npm dependency scanning), so the surface is both incomplete for 'Govcon Intel' and unfocused.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
26 tool updates
- Changed
ai_visibility_check1 field changed- added
Input schema / examplesAdded value: +[ + { + "entity": "Tesla" + } +]
- Changed
ask_pipeworx_beta1 field changed- added
Input schema / examplesAdded value: +[ + { + "question": "What is the current US unemployment rate?" + } +]
- Changed
ask_pipeworx_grounded1 field changed- added
Input schema / examplesAdded value: +[ + { + "question": "What was Apple's fiscal 2023 revenue?" + } +]
- Added
company_facts - Changed
compare_entities1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "values": [ + "AAPL", + "MSFT" + ] + } +]
- Changed
deep_research1 field changed- added
Input schema / examplesAdded value: +[ + { + "depth": "quick", + "question": "What is the current US unemployment rate and how has it changed over the past year?" + } +]
- Changed
entity_profile1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "value": "AAPL" + } +]
- Changed
generate_llms_txt1 field changed- added
Input schema / examplesAdded value: +[ + { + "url": "https://pipeworx.io" + } +]
- Added
kalshi_weather_edge - Changed
pipeworx_feedback1 field changed- added
Input schema / examplesAdded value: +[ + { + "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.", + "type": "other" + } +]
- Changed
pipeworx_trending1 field changed- added
Input schema / examplesAdded value: +[ + { + "window": "7d" + } +]
- Changed
polymarket_arbitrage1 field changed- added
Input schema / examplesAdded value: +[ + { + "topic": "Fed rate decision" + } +]
- Changed
polymarket_edge_tracker1 field changed- added
Input schema / examplesAdded value: +[ + { + "days": 14, + "window": "1wk" + } +]
- Changed
polymarket_edges3 fields changed- added
Input schema / examplesAdded value: +[ + { + "limit": 5, + "window": "1wk" + } +] - changed
Input schema / properties / min_edge_pp / descriptionPrevious value: -"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage."New value: +"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage and Polymarket's own taker fee." - changed
Input schema / properties / slippage_pp / descriptionPrevious value: -"Assumed execution slippage in percentage points per leg (default 0.3). Subtracted from raw |edge| before ranking and Kelly sizing. Polymarket has zero trading fees as of 2024 but bid/ask + thin depth typically eats 20-50bp per trade. Bump for very thin partitions; drop to 0 if you have a smarter fill model."New value: +"Assumed execution slippage in percentage points per leg (default 0.3), for bid/ask + thin depth cost that a last-trade price does not show. Subtracted from raw |edge| before ranking and Kelly sizing, ON TOP OF Polymarket's own taker fee — which is NOT zero (rate 0.04-0.07 depending on category, read off each market's own published fee schedule; see fees_pp_applied on every row and fees.ts for the full schedule). Bump slippage for very thin partitions; drop to 0 if you have a smarter fill model — the fee still applies regardless."
- Changed
polymarket_fill_risk1 field changed- added
Input schema / examplesAdded value: +[ + { + "market": "will-the-fed-increase-interest-rates-by-25-bps-after-the-december-2026-meeting-20260729232808636", + "side": "buy_yes", + "size_usd": 1000 + } +]
- Changed
recent_changes1 field changed- added
Input schema / examplesAdded value: +[ + { + "since": "30d", + "type": "company", + "value": "AAPL" + } +]
- Added
release_calendar_markets - Changed
remember1 field changed- added
Input schema / examplesAdded value: +[ + { + "key": "target_ticker", + "value": "AAPL" + } +]
- Added
resolution_audit - Added
resolution_diff - Changed
resolve_entity1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "value": "AAPL" + } +]
- Changed
scan_competitor_ai_presence1 field changed- added
Input schema / examplesAdded value: +[ + { + "entities": [ + "Pipeworx", + "Zapier" + ] + } +]
- Changed
scan_dependency1 field changed- added
Input schema / examplesAdded value: +[ + { + "package": "left-pad" + } +]
- Changed
search_within1 field changed- added
Input schema / examplesAdded value: +[ + { + "query": "supply-chain risk", + "text": "Apple Inc. reported fiscal 2023 revenue of $383.285 billion, driven by strong iPhone and Services growth. Net income was $96.995 billion. The company faced supply-chain risk in China during the quarter." + } +]
- Changed
suggest_questions1 field changed- added
Input schema / examplesAdded value: +[ + { + "topic": "finance" + } +]
- Changed
validate_claim1 field changed- added
Input schema / examplesAdded value: +[ + { + "claim": "Apple's fiscal 2023 revenue was $383 billion" + } +]
2 tool updates
- Changed
bet_research2 fields changed- changed
Input schema / examplesPrevious value: -[ - { - "market": "will-bitcoin-reach-100k-in-july-2026" - }, - { - "market": "https://polymarket.com/event/will-bitcoin-hit-150k-by-june-30-2026" - } -]New value: +[ + { + "market": "will-kristi-noem-win-the-2028-republican-presidential-nomination" + }, + { + "market": "https://polymarket.com/event/will-kristi-noem-win-the-2028-republican-presidential-nomination" + } +] - changed
Input schema / properties / market / descriptionPrevious value: -"Polymarket slug (\"will-bitcoin-hit-150k-by-june-30-2026\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k by June 30?\")"New value: +"Polymarket slug (\"will-kristi-noem-win-the-2028-republican-presidential-nomination\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k?\"). Dated slugs stop resolving once they settle — Polymarket de-indexes resolved markets — so prefer an undated one."
- Changed
polymarket_kalshi_spread2 fields changed- changed
Input schema / examplesPrevious value: -[ - { - "topic": "fed" - }, - { - "topic": "btc" - } -]New value: +[ + { + "topic": "fed" + }, + { + "topic": "btc" + }, + { + "topic": "bitcoin" + }, + { + "topic": "fed rate decision" + } +] - changed
Input schema / properties / topic / descriptionPrevious value: -"Pre-mapped: fed | btc | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president"New value: +"Subject to compare. Canonical keys: fed | btc | eth | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president — but aliases and keywords resolve too (\"bitcoin\", \"fed rate decision\", \"ethereum\", \"inflation\", \"s&p 500\", \"us recession\", \"next pope\", \"2028 election\"). Check resolution.topic_matched_by in the response: \"exact\"/\"alias\" is a curated pairing, \"phrase\"/\"token\" is a keyword guess."
1 tool update
- Changed
entity_profile3 fields changed- changed
Input schema / properties / type / descriptionPrevious value: -"Entity type. Only \"company\" supported today; person/place coming soon."New value: +"\"company\" or \"ticker\" — both are accepted and behave identically; `value` can be a ticker, CIK, or company name either way. person/place coming soon." - changed
Input schema / properties / type / enumPrevious value: -[ - "company" -]New value: +[ + "company", + "ticker" +] - changed
Input schema / properties / value / descriptionPrevious value: -"Ticker (e.g., \"AAPL\") or zero-padded CIK (e.g., \"0000320193\"). Names not supported — use resolve_entity first if you only have a name."New value: +"Ticker (e.g., \"AAPL\"), zero-padded CIK (e.g., \"0000320193\"), or company name (e.g., \"Moderna\") — names resolve via SEC EDGAR company-name match."
Related MCP Connectors
Federal+SLED govcon MCP: SAM, USASpending, recompete, hearings, policy intel, search. Private AI.
SAM.gov MCP — Federal contract opportunities and entity registration data
Federal contract intelligence: $7T+ awards, SAM.gov opps, pWin verdicts, recompetes, protests.
MCP access to the U.S. federal procurement graph: contracts, opportunities, entities, and more.
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- AlicenseBqualityAmaintenanceEnables searching and filtering federal contract opportunities by keyword, agency, set-aside, NAICS, and more from any MCP client. Analyzes solicitations for small-business fit and risk, and provides reference lookups for NAICS codes, set-asides, and federal thresholds.9MIT
- AlicenseAqualityCmaintenanceGovToolsPro MCP Server — an MCP server that gives Claude and other AI clients workflow tools for US federal contractors: go/no-go scoring, incumbent intelligence (USAspending + FPDS), teaming-partner search, recompete prediction, Navy NECO lookup, and SAM.gov solicitation retrieval. It returns synthesized decisions rather than raw data, so contractors and capture teams can triage opportunities d1044 npm2MIT
- AlicenseAqualityBmaintenanceSearch and analyze U.S. federal government contracts and opportunities from SAM.gov. Tools for keyword search, contract details, competitive analysis, and capability statement drafting — built for AI agents via x402 USDC micropayments.32MIT
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