Realestate
Server Details
Real Estate Japan MCP — actual residential/commercial transaction prices and
Glama couldn't complete the latest health check. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 28.8% over 41 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-realestate
- GitHub Stars
- 0
- Server Listing
- mcp-realestate
TDQS
Scored across 38 tools
The server is a sprawling Pipeworx data platform with many overlapping meta-tools: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, and discover_tools all route questions to the same 6,216 tools, creating significant ambiguity about which to call. Additionally, polymarket_edges, polymarket_arbitrage, polymarket_fill_risk, polymarket_edge_tracker, and bet_research all target prediction-market opportunities with heavily overlapping purposes.
Many tools follow a clear verb_noun pattern (ask_pipeworx, bet_research, compare_entities, resolve_entity, validate_claim, scan_competitor_ai_presence), but the set mixes conventions: some are noun_phrases (entity_profile, recent_changes, company_facts), some are bare nouns (remember, recall, forget, subscribe, unsubscribe), and several use vendor-prefixed names (pipeworx_feedback, pipeworx_trending, polymarket_edges, kalshi_weather_edge). The naming is readable but not predictable across the set.
38 tools is far too many for a server named 'Realestate' — only 2 tools (realestate_municipalities, realestate_transactions) actually relate to real estate. The other 36 tools form a general-purpose data/prediction-market platform that has no apparent connection to the server's stated purpose, making the count wildly inappropriate for the apparent scope.
For the real-estate domain, the surface is severely incomplete: it offers only municipality lookup and transaction queries, with no property details, listings, price trends/analytics, or geographic search beyond station codes. For the broader Pipeworx platform the surface is extensive, but the real-estate-specific purpose implied by the server name is barely covered.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
30 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?" + } +]
- 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."
- 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
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."
- Changed
realestate_municipalities1 field changed- changed
Input schema / examplesPrevious value: -[ - { - "_apiKey": "your-realestate-api-key", - "prefecture": "Tokyo" - } -]New value: +[ + { + "prefecture": "Tokyo" + } +]
- Changed
realestate_transactions1 field changed- changed
Input schema / examplesPrevious value: -[ - { - "_apiKey": "your-realestate-api-key", - "prefecture": "Tokyo", - "quarter": 2, - "year": 2023 - }, - { - "_apiKey": "your-realestate-api-key", - "city": "13102", - "limit": 100, - "price_type": "transaction", - "quarter": 4, - "year": 2022 - } -]New value: +[ + { + "prefecture": "Tokyo", + "quarter": 2, + "year": 2023 + }, + { + "city": "13102", + "limit": 100, + "price_type": "transaction", + "quarter": 4, + "year": 2022 + } +]
- 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" + } +]
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."
1 tool update
- Changed
resolve_entity1 field changed- changed
Input schema / properties / value / descriptionPrevious value: -"For company: ticker (AAPL), CIK (0000320193), or name. For drug: brand or generic name (e.g., \"ozempic\", \"metformin\")."New value: +"For company: ticker (AAPL), CIK (0000320193), or name. For drug: brand or generic name (e.g., \"ozempic\", \"metformin\"). Pass the ENTITY NAME ONLY — for a bond that is the ISSUER exactly as printed (\"NEW YORK ST DORM AUTH\"), never the question's full noun phrase (\"NEW YORK ST DORM AUTH revenue bonds\"): the FIGI lookup matches instrument names, so trailing security-class words match nothing."
Related MCP Connectors
Japan real estate MCP: land price, risk, foot traffic, renovation. 10 prefectures.
Japan real estate data: transactions, land prices, vacancy, hazard, zoning & more.
Land Price Japan MCP — official Japanese land prices (地価公示 / 地価調査)
Property Records MCP — address-level US property records (sales history,
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceJapanese real-estate actual transaction prices and official land prices (official MLIT Reinfolib data): search by area, period, and property type, with published land-price reference points.-
- AlicenseNot gradedqualityBmaintenanceAccess official Japanese land prices (地価公示/地価調査) through the Pipeworx MCP gateway.194 npmMIT
- AlicenseAqualityDmaintenanceMCP server for querying Taiwan's real estate transaction registry via web scraping of the Ministry of the Interior's official portal. Enables natural language queries for real estate sales, rentals, and pre-sale housing data.11MIT
- AlicenseAqualityAmaintenanceReal Estate Listing - MCP server providing AI-powered tools and automation by MEOK AI Labs57 npm38 PyPI1MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.