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GNews MCP — Global news search via GNews API (gnews.io)

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Status
Unhealthy
Uptime
42.2% over 40 days
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-gnews
GitHub Stars
0

TDQS

A3.8/5.0

Scored across 38 tools

Disambiguation2/5

Several tool families overlap heavily: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, and validate_claim all answer natural-language data questions, and there are six polymarket_* tools surfacing prediction-market opportunities. ai_visibility_check vs scan_competitor_ai_presence is another near-duplicate pair. An agent would need to read extensive descriptions to pick the right one.

Naming Consistency3/5

All names are snake_case and family prefixes like ask_pipeworx_, polymarket_, and pipeworx_ are consistent, but there is no uniform verb_noun pattern. Many names are noun phrases (company_facts, entity_profile, release_calendar_markets, top_headlines) mixed with imperative verbs (ask, forget, recall, subscribe). The mixed conventions are readable but not predictable.

Tool Count2/5

38 tools is well above the comfortable range, especially for a server named Gnews where only two tools (search_news, top_headlines) are actually news-specific. The rest form a sprawling data/prediction-market platform, which justifies the size only if that is the real purpose; under the Gnews name it is a heavy and confusing surface.

Completeness3/5

As a general data platform the surface is quite complete: lookup, grounded verification, deep research, entity resolution, comparison, subscriptions, memory, and prediction-market risk analysis are all covered. Relative to the Gnews name, though, news is thin — no article fetch by ID and top_headlines requires a BYO API key, leaving a default agent with effectively just search_news plus indirect news routing via ask_pipeworx.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 26 tool updates
    • Changedai_visibility_check1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "entity": "Tesla"
        +  }
        +]
    • Changedask_pipeworx_beta1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "question": "What is the current US unemployment rate?"
        +  }
        +]
    • Changedask_pipeworx_grounded1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "question": "What was Apple's fiscal 2023 revenue?"
        +  }
        +]
    • Addedcompany_facts
    • Changedcompare_entities1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "values": [
        +      "AAPL",
        +      "MSFT"
        +    ]
        +  }
        +]
    • Changeddeep_research1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "depth": "quick",
        +    "question": "What is the current US unemployment rate and how has it changed over the past year?"
        +  }
        +]
    • Changedentity_profile1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Changedgenerate_llms_txt1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "url": "https://pipeworx.io"
        +  }
        +]
    • Addedkalshi_weather_edge
    • Changedpipeworx_feedback1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.",
        +    "type": "other"
        +  }
        +]
    • Changedpipeworx_trending1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "window": "7d"
        +  }
        +]
    • Changedpolymarket_arbitrage1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "topic": "Fed rate decision"
        +  }
        +]
    • Changedpolymarket_edge_tracker1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "days": 14,
        +    "window": "1wk"
        +  }
        +]
    • Changedpolymarket_edges3 fields changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "limit": 5,
        +    "window": "1wk"
        +  }
        +]
      • changedInput schema / properties / min_edge_pp / description
        Previous 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."
      • changedInput schema / properties / slippage_pp / description
        Previous 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."
    • Changedpolymarket_fill_risk1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "market": "will-the-fed-increase-interest-rates-by-25-bps-after-the-december-2026-meeting-20260729232808636",
        +    "side": "buy_yes",
        +    "size_usd": 1000
        +  }
        +]
    • Changedrecent_changes1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "since": "30d",
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Addedrelease_calendar_markets
    • Changedremember1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "key": "target_ticker",
        +    "value": "AAPL"
        +  }
        +]
    • Addedresolution_audit
    • Addedresolution_diff
    • Changedresolve_entity1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Changedscan_competitor_ai_presence1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "entities": [
        +      "Pipeworx",
        +      "Zapier"
        +    ]
        +  }
        +]
    • Changedscan_dependency1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "package": "left-pad"
        +  }
        +]
    • Changedsearch_within1 field changed
      • addedInput schema / examples
        Added 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."
        +  }
        +]
    • Changedsuggest_questions1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "topic": "finance"
        +  }
        +]
    • Changedvalidate_claim1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "claim": "Apple's fiscal 2023 revenue was $383 billion"
        +  }
        +]
  2. 2 tool updates
    • Changedbet_research2 fields changed
      • changedInput schema / examples
        Previous 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"
        +  }
        +]
      • changedInput schema / properties / market / description
        Previous 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."
    • Changedpolymarket_kalshi_spread2 fields changed
      • changedInput schema / examples
        Previous value: -[
        -  {
        -    "topic": "fed"
        -  },
        -  {
        -    "topic": "btc"
        -  }
        -]New value: +[
        +  {
        +    "topic": "fed"
        +  },
        +  {
        +    "topic": "btc"
        +  },
        +  {
        +    "topic": "bitcoin"
        +  },
        +  {
        +    "topic": "fed rate decision"
        +  }
        +]
      • changedInput schema / properties / topic / description
        Previous 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."

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