Bundlephobia
Server Details
Bundlephobia MCP — npm bundle-size analysis
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- Status
- Unhealthy
- Uptime
- 44.4% over 39 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-bundlephobia
- GitHub Stars
- 0
- Server Listing
- mcp-bundlephobia
TDQS
Scored across 39 tools
Several tools occupy the same conceptual space: ask_pipeworx and ask_pipeworx_beta are explicitly identical right now, and deep_research/ask_pipeworx_grounded/validate_claim all handle natural-language queries over the same sources. The prediction-market cluster (polymarket_edges, polymarket_arbitrage, polymarket_edge_tracker, polymarket_fill_risk, bet_research) also has overlapping opportunity-detection roles that require reading long disclaimers to separate.
Most Pipeworx tools follow a readable snake_case verb_noun pattern (ask_pipeworx, resolve_entity, compare_entities, validate_claim, list_subscriptions), and the polymarket_* family is consistent. However, the bundlephobia subset uses bare nouns (size, similar, history, recent_searches), and mixing product-branded names with generic utility names is not a single predictable scheme.
39 tools is far beyond the 3-15 sweet spot, and most are unrelated to the server's stated Bundlephobia identity—only size, similar, history, recent_searches, and scan_dependency actually belong to it. The remaining Pipeworx, prediction-market, memory, and subscription tools feel bolted on, making the count heavy for the apparent purpose.
Within the bundlephobia core, the surface is reasonably complete: size analysis, alternatives (similar), historical size (history), popular packages (recent_searches), and a composite dependency check (scan_dependency) cover the main user workflows. The broader Pipeworx/prediction-market surface also has well-paired meta-tools (remember/recall/forget, subscribe/list/unsubscribe/recent_alerts, resolution_audit/resolution_diff), with only minor gaps such as an explicit package-to-package comparison tool.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
4 tool updates
- Added
kalshi_weather_edge - Added
release_calendar_markets - Added
resolution_audit - Added
resolution_diff
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."
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