AVnester — Indian Real Estate Intelligence

Indian real estate: property search, locality insights, affordability & pan-India stamp-duty tools.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Indian real estate: property search, locality insights, affordability & pan-India stamp-duty tools.

    How to connect

    How to connect AVnester — Indian Real Estate Intelligence to Claude

    The server address to paste into Claude settings:

    https://mcp.avnester.com/public-mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect AVnester — Indian Real Estate Intelligence to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.avnester.com/public-mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect AVnester — Indian Real Estate Intelligence to Cursor

    The server address to paste into Cursor settings:

    https://mcp.avnester.com/public-mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (11)

    Raw names from tools/list. Only developers need these.

    search_propertiesSearch residential property listings in Coimbatore and Chennai, Tamil Nadu. Use when the user names a locality, price band, BHK, or transaction type in either city. Returns sanitized listing cards with handoff URLs and a per-listing verified flag; never returns seller contact details. Out-of-scope cities return supported=false + supportedCities + scopeMessage — surface the scopeMessage to the user.
    get_locality_insightsGet aggregated insights for a Coimbatore or Chennai locality: 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 neighborhood in either city. Out-of-scope cities return supported=false; surface the scopeMessage to the user. Always surface the disclaimer field when returning livability or investment grade.
    compare_localitiesCompare 2–3 Coimbatore or Chennai localities side-by-side: 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 neighborhoods in these cities. Out-of-scope cities return supported=false; surface the scopeMessage to the user. For comparing specific LISTINGS by ID, use compare_properties instead.
    calculate_home_affordabilityEstimate the monthly home-loan EMI / monthly payment in India — a home-loan calculator. Deterministic math; not advice or a loan-approval claim. Two modes: pass propertyValue (80% LTV assumed) OR loanAmount for a specific loan (e.g. "₹50 lakh loan"). Use for "what would my EMI be" / "monthly payment on …". The response `assumptionNote` states the basis in plain words. Always surface the disclaimer field.
    simulate_loan_prepaymentSimulate prepaying / repaying an Indian home loan early. Pure deterministic math — no advice, no loan-approval claim. Use for "should I prepay", "early/part/lump-sum repayment", "pay extra each month", "reduce EMI or tenure", "interest saved", or foreclosure. Modes: one-time, recurring yearly, or a fixed extra every month (recurring_monthly). Compares reduce_tenure (keep EMI, finish early) vs reduce_emi (keep tenure, lower EMI). Always surface the disclaimer field.
    compare_balance_transferCompare 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.
    optimize_home_loan_tax_regimeCompare a home-loan borrower's income tax under the OLD vs NEW regime (FY2026-27) and recommend which regime saves more income tax. Pure deterministic slab math — not tax advice. Use when the user asks "old or new tax regime", "home-loan tax benefit", or "section 80C / 24(b) deduction". Models §24(b) interest + §80C principal (+ joint-loan doubling); the response lists benefits it does NOT model (capital gains, HRA, etc.). Always surface the disclaimer field.
    estimate_stamp_duty_and_registrationEstimate Indian state stamp duty + registration charges on a property purchase. Supports all 28 states + 8 UTs with buyer-gender concessions, urban/rural overrides, and commercial/agricultural multipliers. Pass constructionStatus to also itemize GST (under-construction 1%/5%, ready/resale 0%) for an all-in statutory quote. Returns supported=false for states outside India (supported set named in rateBasis). Not legal/tax advice. Always surface the disclaimer.
    get_property_detailsFetch 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 covers Coimbatore and Chennai; 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.
    compare_propertiesCompare 2–5 AVnester listings by listingId, side-by-side. Get IDs from search_properties first (not guessable). If the user has more than 5 candidates ("compare all"), pick the most relevant 5 (cheapest / largest / best price-per-sqft) and say so. Returns each listing plus pricePerSqft, vsCheapestPercent (0 = cheapest), vsLargestAreaPercent (0 = largest). Covers Coimbatore and Chennai; unknown IDs return not_found_or_unpublished. Does NOT recommend a purchase. Always surface the disclaimer.
    get_property_decision_intelligenceAssess whether a buyer can afford a specific Indian home — ONE verdict (AFFORDABLE / STRETCH / NOT_YET / INELIGIBLE) combining indicative eligibility (FOIR/LTV/CIBIL), EMI, true cash-to-close (down payment + stamp duty + registration + itemized GST), regime-aware tax, and an indicative lender-fit triage. Mode A: listingId (Coimbatore/Chennai catalog). Mode B: propertyValue + state (any Indian state). NOT a loan approval, offer, or advice. Always surface the disclaimer.