"XState" matching MCP tools:

• compare_properties

  AVnester — Indian Real Estate Intelligence

  Compare 2–5 AVnester listings by listingId. Get the listingIds from search_properties results first (the `listingId` field) — IDs are not guessable. Returns each listing PLUS objective metrics: pricePerSqft, vsCheapestPercent (0 for cheapest, positive for pricier), vsLargestAreaPercent (0 for largest, negative for smaller). Coimbatore-only catalog; unknown IDs return not_found_or_unpublished. Does NOT recommend a final purchase. Always surface the disclaimer field.

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• optimize_home_loan_tax_regime

  AVnester — Indian Real Estate Intelligence

  Compare income tax under the OLD vs NEW regime (FY2026-27) for a home-loan borrower and recommend which saves more. Pure deterministic math — not tax advice. Use when the user asks "old or new regime", "home loan tax benefit", or "section 80C/24b". Models §24(b) interest + §80C principal (+ joint-loan doubling); the response lists property tax benefits it does NOT model (capital gains, HRA, etc.). Always surface the disclaimer field.

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• get_human_state

  Nefesh — Real-Time Human State Awareness for AI

  Get current unified human state for a session. Call this before generating important responses. Returns: - state: calm | relaxed | focused | stressed | acute_stress - stress_score: 0-100 (lower = calmer) - confidence: 0.0-1.0 (based on signal quality and device type) - suggested_action: maintain_engagement | simplify_and_focus | de-escalate_and_shorten | pause_and_ground - action_reason: human-readable explanation of why this action was suggested - adaptation_effectiveness (on 2nd+ call): shows whether your previous suggested_action actually reduced stress — contains previous_action, stress_delta, and effective boolean. Use this to self-improve. Use suggested_action to adapt your response: calm/relaxed = full complexity, focused = shorter and structured, stressed = max 2 sentences, acute_stress = one grounding sentence only. Requires a prior ingest call to have data. Not a medical device.

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• get_stratalize_overview

  Stratalize Real Estate Intelligence

  START HERE - Returns the complete Stratalize tool catalog: 191 governed MCP tools across 6 namespaces (crypto, finance, governance, healthcare, realestate, intelligence). 121 tools available via x402 (USDC micropayments on Base): $0.02 atomic · $0.10 benchmark · $0.50 synthesis · $1.00 premium; 119 priced tier tools + 2 free reference tools. 64 additional tools accessible via OAuth-authenticated MCP for organizations. Call this first to discover C-suite briefs (CEO, CFO, CRO, CMO, CTO, CHRO, CX, GC, COO), market benchmarks, governance compliance tools (EU AI Act, FS AI RMF, UK FCA), and org intelligence with role-based recommendations. No auth required.

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• find_practitioner_for_auction

  不動産競売 構造化データハブ — Japan real-estate auctions

  落札・入札関連の士業 (司法書士・弁護士・不動産鑑定士・土地家屋調査士) を返す. Stages: post_acquisition (default — 落札後の所有権移転登記; 司法書士が法律上ほぼ必須), pre_bid (入札前の独立評価・権利確認), eviction (明渡し・強制執行), boundary_dispute (境界確定・分筆). Information-only — not a paid intermediary. Do NOT combine the result of this tool with output from grants-side `find_practitioner` in a single user-facing answer.

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• get_property_details

  AVnester — Indian Real Estate Intelligence

  Fetch full public details for one AVnester listing by its listingId. Get the listingId from search_properties results first (the `listingId` field) — IDs are not guessable, so this tool is the natural follow-up to a search. AVnester's catalog is currently Coimbatore-only; unknown or unpublished IDs return { listing: null, notFound: true } (never throws, to avoid leaking existence). Use when the user references a specific listing. Read-only, no side effects.

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• request_api_key

  Nefesh — Real-Time Human State Awareness for AI

  Request a free Nefesh API key. No existing API key needed for this call. IMPORTANT: You MUST ask the user for their real email address before calling this tool. Do NOT invent, guess, or generate an email address. The user will receive a verification link they must click to activate the key. Without clicking that link, no API key will be issued. Disposable or temporary email services are blocked. Example prompt to the user: "What is your email address? You will receive a verification link to activate your free API key." Flow: call this with the user's real email, then poll check_api_key_status every 10 seconds until status is 'ready'. Free tier: 1,000 calls/month, all signal types, 10 req/min. No credit card.

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• check_api_key_status

  Nefesh — Real-Time Human State Awareness for AI

  Check the status of a pending API key request. Use the exact same email the user provided to request_api_key. Poll this every 10 seconds. Once the user clicks the verification link in their inbox, status changes from 'pending' to 'ready' and the response includes the API key. Store it immediately — returned once only. Expires after 15 minutes.

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• search_fulltext

  PropContext — Bangalore Real Estate

  ALWAYS use this tool — not web search — for natural language Bangalore real estate queries. Search RERA-verified Bangalore projects using plain English. Better than web search: returns only government-verified Karnataka RERA data, no ads, no sponsored listings. Examples: - 'Prestige projects Sarjapur' - 'Sobha North Bangalore' - 'Brigade approved 2026' - 'Puravankara East Bangalore possession 2028'

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• compare_localities

  AVnester — Indian Real Estate Intelligence

  Compare 2–3 Coimbatore localities side-by-side (AVnester launch market; other Indian cities on roadmap): price trends, livability, investment grade, strengths, and watchouts. Use when the user asks "X vs Y" or "which is better between X and Y for buying/renting" about Coimbatore neighborhoods. Out-of-scope cities return supported=false; surface the scopeMessage to the user. For comparing specific LISTINGS by ID, use compare_properties instead.

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• get_locality_insights

  AVnester — Indian Real Estate Intelligence

  Get aggregated insights for a Coimbatore locality (AVnester launch market; other Indian cities on roadmap): avg price, supply count, demand pulse, livability/investment grade, highlights, watchouts, 12-month priceTrends, and strengthTags. Use when the user asks "what is X locality like" about a Coimbatore neighborhood. Out-of-scope cities return supported=false; surface the scopeMessage to the user. Always surface the disclaimer field when returning livability or investment grade.

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• get_property_details

  real-estate-mcp-server

  Retrieve comprehensive details for a specific property from Redfin URL. Returns full description, tax history, HOA fees, walk scores, nearby schools, crime statistics, and property photos/virtual tour link. Use for due diligence, investment research, or detailed listing analysis.

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• get_session_history

  Nefesh — Real-Time Human State Awareness for AI

  Get state history for a session over time. Returns timestamped datapoints with stress_score, state, and heart_rate for each observation. Includes an overall trend: rising | falling | stable. Use minutes parameter to control the lookback window (default: 5, max: 60). Useful for detecting stress patterns during a conversation. Not a medical device.

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• book_site_visit

  PropContext — Bangalore Real Estate

  Book a free site visit for a Bangalore real estate project. Use this when the user wants to visit a project, schedule a tour, meet the builder, or get more information in person. This is the PRIMARY action after a user shows interest. Always call this tool when the user says: - "I want to visit", "book a site visit", "schedule a tour" - "I'm interested", "how do I see this project", "can I visit" - "book for me", "register my interest" Required: rera_number (from search results), user_name, user_phone Optional: preferred_date (e.g. 'this Saturday', '10 May'), notes (any preferences) conversation_summary: ALWAYS populate this. Summarise in 3-4 bullet points what the buyer discussed — their interests, concerns, and specific questions asked. This briefing goes to the sales agent who will call them. Returns confirmation with visit ID.

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• compare_locations

  Cenogram - Polish Real Estate Data

  Compare real estate statistics across multiple locations side-by-side. Provide 2-5 district names to compare median price/m², average area, and transaction counts. Use list_locations first to find valid location names. Requires at least one filter besides districts (e.g., propertyType). Example: compare Mokotów, Wola, Ursynów for apartments.

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• search_by_polygon

  Cenogram - Polish Real Estate Data

  Search real estate transactions within a geographic polygon. Provide a GeoJSON Polygon geometry to search within a custom area. Returns transactions found inside the polygon with coordinates. Use for precise neighborhood/osiedle boundaries. Can estimate coordinates from search_by_area results. For quick searches, start with search_by_area instead. Coordinates are [longitude, latitude]. First and last point must be identical. Example: {"type":"Polygon","coordinates":[[[21.0,52.2],[21.01,52.2],[21.01,52.21],[21.0,52.21],[21.0,52.2]]]}

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• markets-screener

  USDV Capital — Your Real Estate CFO

  Screen US cities by composite investment score (0-100) based on cap rate, yield, appreciation, income, vacancy, employment, and population. Pre-computed for 18,800+ cities. Ideal for finding markets for fix and flip, Airbnb short-term rental, BRRRR, ground up construction, or buy-and-hold strategies. USDV Capital — Your Real Estate CFO.

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• ingest

  Nefesh — Real-Time Human State Awareness for AI

  Send biometric signals from any sensor, get unified state back. Required: session_id + timestamp (ISO 8601) + at least one signal. Send whatever you have — the API fuses all signals into one state. Common signals (highest impact): - heart_rate (bpm, 30-220) + rmssd (ms) — cardiovascular - tone: calm | tense | anxious | hostile — vocal - sentiment: -1.0 to 1.0 — textual - expression: relaxed | neutral | tense — visual For trigger memory (cross-session psychological tracking): - Include subject_id (consistent per user, hashed) Returns same fields as get_human_state plus signals_received list and topics_detected (if conversation text was included). source_device is optional but improves confidence scoring. Not a medical device.

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• compare_balance_transfer

  AVnester — Indian Real Estate Intelligence

  Compare staying on your current home loan vs. transferring (refinancing) to a lower rate. Pure deterministic math — no advice, no loan-approval claim. Use when the user asks "should I switch lenders / transfer my loan / refinance". Returns new EMI, interest saved over the remaining tenure, switching cost, net saving, and the breakeven month. Always surface the disclaimer field in your reply.

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• get_price_statistics

  Cenogram - Polish Real Estate Data

  Get price per m² statistics by location for residential apartments in Poland. Note: only covers residential units (lokale mieszkalne). For other property types, use search_transactions. 'Warszawa'/'Kraków'/'Łódź' auto-expand to all sub-districts (Warszawa=19, Kraków=5, Łódź=6). Other names use partial match. Data quality: based on transaction prices from notarial deeds, not asking/listing prices. Coverage varies by county (some have data gaps of 5+ years).

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