Checksum MCP — CRC-32 & Adler-32.
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Scored across 38 tools
Several tools are near-duplicates or heavily overlapping: ask_pipeworx_beta currently matches ask_pipeworx exactly, adler32 and crc32 serve the same purpose, ai_visibility_check overlaps with scan_competitor_ai_presence, and the six polymarket tools have fuzzy boundaries. The detailed descriptions help, but an agent could easily misselect among these clusters.
Most names are readable snake_case, but conventions are mixed: imperative verbs (subscribe, remember, discover_tools), noun phrases (entity_profile, company_facts, recent_changes), brand-prefixed names (ask_pipeworx, pipeworx_trending), and bare algorithm names (adler32, crc32). No casing chaos, but no consistent verb_noun pattern either.
38 tools is well past the 'heavy' band and includes redundant meta-tools (suggest_questions, discover_tools, pipeworx_trending), a full memory system, and two unrelated checksum utilities. The scope is broad, but many tools could be consolidated or removed without losing capability.
The research workflow is well covered: resolve_entity → ask_pipeworx/grounded/deep_research → entity_profile/company_facts/compare_entities → validate_claim, with search_within for post-fetch analysis. Prediction markets have a thorough lifecycle (edge detection, arbitrage, fill risk, resolution audit, tracking), and subscriptions/memory have full CRUD. Minor gaps exist (e.g., no update mutation for subscriptions), but no critical dead ends.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
ai_visibility_check1 field changedInput schema / examplesAdded value: +[
+ {
+ "entity": "Tesla"
+ }
+]ask_pipeworx_beta1 field changedInput schema / examplesAdded value: +[
+ {
+ "question": "What is the current US unemployment rate?"
+ }
+]ask_pipeworx_grounded1 field changedInput schema / examplesAdded value: +[
+ {
+ "question": "What was Apple's fiscal 2023 revenue?"
+ }
+]company_factscompare_entities1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "values": [
+ "AAPL",
+ "MSFT"
+ ]
+ }
+]deep_research1 field changedInput schema / examplesAdded value: +[
+ {
+ "depth": "quick",
+ "question": "What is the current US unemployment rate and how has it changed over the past year?"
+ }
+]entity_profile1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "value": "AAPL"
+ }
+]generate_llms_txt1 field changedInput schema / examplesAdded value: +[
+ {
+ "url": "https://pipeworx.io"
+ }
+]kalshi_weather_edgepipeworx_feedback1 field changedInput schema / examplesAdded value: +[
+ {
+ "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.",
+ "type": "other"
+ }
+]pipeworx_trending1 field changedInput schema / examplesAdded value: +[
+ {
+ "window": "7d"
+ }
+]polymarket_arbitrage1 field changedInput schema / examplesAdded value: +[
+ {
+ "topic": "Fed rate decision"
+ }
+]polymarket_edge_tracker1 field changedInput schema / examplesAdded value: +[
+ {
+ "days": 14,
+ "window": "1wk"
+ }
+]polymarket_edges3 fields changedInput schema / examplesAdded value: +[
+ {
+ "limit": 5,
+ "window": "1wk"
+ }
+]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."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."polymarket_fill_risk1 field changedInput 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
+ }
+]recent_changes1 field changedInput schema / examplesAdded value: +[
+ {
+ "since": "30d",
+ "type": "company",
+ "value": "AAPL"
+ }
+]release_calendar_marketsremember1 field changedInput schema / examplesAdded value: +[
+ {
+ "key": "target_ticker",
+ "value": "AAPL"
+ }
+]resolution_auditresolution_diffresolve_entity1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "value": "AAPL"
+ }
+]scan_competitor_ai_presence1 field changedInput schema / examplesAdded value: +[
+ {
+ "entities": [
+ "Pipeworx",
+ "Zapier"
+ ]
+ }
+]scan_dependency1 field changedInput schema / examplesAdded value: +[
+ {
+ "package": "left-pad"
+ }
+]search_within1 field changedInput 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."
+ }
+]suggest_questions1 field changedInput schema / examplesAdded value: +[
+ {
+ "topic": "finance"
+ }
+]validate_claim1 field changedInput schema / examplesAdded value: +[
+ {
+ "claim": "Apple's fiscal 2023 revenue was $383 billion"
+ }
+]bet_research2 fields changedInput schema / examplesPrevious value: -[
- {
- "market": "when-will-bitcoin-hit-150k"
- },
- {
- "market": "https://polymarket.com/event/when-will-bitcoin-hit-150k"
- }
-]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"
+ }
+]Input schema / properties / market / descriptionPrevious value: -"Polymarket slug (\"when-will-bitcoin-hit-150k\"), 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."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."bet_research2 fields changedInput 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": "when-will-bitcoin-hit-150k"
+ },
+ {
+ "market": "https://polymarket.com/event/when-will-bitcoin-hit-150k"
+ }
+]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 (\"when-will-bitcoin-hit-150k\"), 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."polymarket_kalshi_spread2 fields changedInput schema / examplesPrevious value: -[
- {
- "topic": "fed"
- },
- {
- "topic": "btc"
- }
-]New value: +[
+ {
+ "topic": "fed"
+ },
+ {
+ "topic": "btc"
+ },
+ {
+ "topic": "bitcoin"
+ },
+ {
+ "topic": "fed rate decision"
+ }
+]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."Add one secure layer between your agents and this server.