Data Cambridge
Server Details
DataCambridge MCP — Cambridge open data (data.cambridgema.gov, Socrata SODA API).
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- Status
- Unhealthy
- Uptime
- 31.1% over 55 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-data-cambridge
- GitHub Stars
- 0
- Server Listing
- data-cambridge
TDQS
Scored across 39 tools
Most tools have distinct domains (Cambridge open data, memory, subscriptions, prediction markets), but there are clear overlapping clusters: ask_pipeworx / ask_pipeworx_beta / ask_pipeworx_grounded / deep_research all answer questions from the same 6,475-tool router, and polymarket_edges / polymarket_arbitrage / polymarket_edge_tracker / polymarket_fill_risk / polymarket_kalshi_spread all scan for market mispricings. The very long descriptions work hard to draw boundaries (explicit 'PREFER OVER' and 'use this instead when' guidance), which keeps it usable, but an agent must read carefully to pick correctly.
All names are snake_case with no style mixing, and most are predictable verb_noun or domain_noun forms (ask_pipeworx, cambridge_query, compare_entities, resolve_entity, validate_claim, subscribe/unsubscribe). A few are bare nouns or adjectives (entity_profile, recent_alerts, recent_changes, resolution_audit) and the ask_pipeworx_* / polymarket_* prefixes carry inconsistent semantics (variant vs. distinct function), but the overall pattern is readable.
39 tools is heavy even for a broad data gateway, and several are near-duplicates or experimental variants (ask_pipeworx_beta is explicitly the same router as ask_pipeworx with a candidate prompt; three separate memory tools; four subscription/alerts tools). The count is justified in part by genuinely distinct domains, but the redundant entries inflate the surface beyond what the purpose requires.
Coverage is unusually broad and self-aware: discovery (discover_tools, suggest_questions), entity resolution, structured facts, fact-checking, cross-source profiling, memory CRUD, subscription lifecycle (subscribe/list/unsubscribe/recent_alerts), feedback, and deep prediction-market tooling with resolution auditing. Minor gaps remain (no catalog-listing tool beyond keyword search, memory is overwrite-only with no update, and some packs are soft-failed such as PatentsView), but agents can work around them.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
29 tool updates
- Changed
ai_visibility_check1 field changed- added
Input schema / examplesAdded value: +[ + { + "entity": "Tesla" + } +]
- Changed
ask_pipeworx3 fields changed- added
Input schema / properties / askAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / messageAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - changed
Input schema / properties / question / descriptionPrevious value: -"Your question or request in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question or request in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."
- Changed
ask_pipeworx_beta4 fields changed- added
Input schema / examplesAdded value: +[ + { + "question": "What is the current US unemployment rate?" + } +] - added
Input schema / properties / askAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / messageAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - changed
Input schema / properties / question / descriptionPrevious value: -"Your question or request in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question or request in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."
- Changed
ask_pipeworx_grounded4 fields changed- added
Input schema / examplesAdded value: +[ + { + "question": "What was Apple's fiscal 2023 revenue?" + } +] - added
Input schema / properties / askAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / messageAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - changed
Input schema / properties / question / descriptionPrevious value: -"Your question in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."
- Added
company_facts - Changed
compare_entities1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "values": [ + "AAPL", + "MSFT" + ] + } +]
- Changed
deep_research9 fields 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?" + } +] - added
Input schema / properties / askAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / inputAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / messageAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / promptAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / qAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / queryAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - changed
Input schema / properties / question / descriptionPrevious value: -"The research question, in natural language. Broad/multi-part is fine — decomposition is the point."New value: +"The research question, in natural language. Broad/multi-part is fine — decomposition is the point. Accepts query, q, prompt, text, input, ask, message as aliases." - added
Input schema / properties / textAdded value: +{ + "description": "Alias for question.", + "type": "string" +}
- Changed
entity_profile1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "value": "AAPL" + } +]
- Changed
forget4 fields changed- added
Input schema / properties / kAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - changed
Input schema / properties / key / descriptionPrevious value: -"Memory key to delete"New value: +"Memory key to delete. Accepts name, k, label as aliases." - added
Input schema / properties / labelAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - added
Input schema / properties / nameAdded value: +{ + "description": "Alias for key.", + "type": "string" +}
- 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
recall4 fields changed- added
Input schema / properties / kAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - changed
Input schema / properties / key / descriptionPrevious value: -"Memory key to retrieve (omit to list all keys)"New value: +"Memory key to retrieve (omit to list all keys). Accepts name, k, label as aliases." - added
Input schema / properties / labelAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - added
Input schema / properties / nameAdded value: +{ + "description": "Alias for key.", + "type": "string" +}
- Changed
recent_changes1 field changed- added
Input schema / examplesAdded value: +[ + { + "since": "30d", + "type": "company", + "value": "AAPL" + } +]
- Added
release_calendar_markets - Changed
remember10 fields changed- added
Input schema / examplesAdded value: +[ + { + "key": "target_ticker", + "value": "AAPL" + } +] - added
Input schema / properties / contentAdded value: +{ + "description": "Alias for value.", + "type": "string" +} - added
Input schema / properties / dataAdded value: +{ + "description": "Alias for value.", + "type": "string" +} - added
Input schema / properties / kAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - changed
Input schema / properties / key / descriptionPrevious value: -"Memory key (e.g., \"subject_property\", \"target_ticker\", \"user_preference\")"New value: +"Memory key (e.g., \"subject_property\", \"target_ticker\", \"user_preference\"). Accepts name, k, label as aliases." - added
Input schema / properties / labelAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - added
Input schema / properties / nameAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - added
Input schema / properties / textAdded value: +{ + "description": "Alias for value.", + "type": "string" +} - added
Input schema / properties / vAdded value: +{ + "description": "Alias for value.", + "type": "string" +} - changed
Input schema / properties / value / descriptionPrevious value: -"Value to store (any text — findings, addresses, preferences, notes)"New value: +"Value to store (any text — findings, addresses, preferences, notes). Accepts content, text, data, v as aliases; a non-string value is stored as JSON."
- 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."
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