AVnester — Indian Real Estate Intelligence is a remote MCP server that gives an AI agent 11 tools, among them calculate_home_affordability, compare_balance_transfer, compare_localities. It answers at https://mcp.avnester.com/public-mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 18 October 2026, succeeded.
Indian real estate: property search, locality insights, affordability & pan-India stamp-duty tools.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
calculate_home_affordability | Estimate 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 la Inputs: propertyValue, loanAmount, interestRatePercent, tenureYears |
compare_balance_transfer | 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 Inputs: outstandingPrincipal, currentRatePercent, newRatePercent, remainingTenureYears, processingFeePct, flatCosts |
compare_localities | Compare 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 Inputs: city, localities, propertyType |
compare_properties | Compare 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 Inputs: listingIds |
estimate_stamp_duty_and_registration | Estimate 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 it Inputs: propertyValue, state, isWomanBuyer, buyerGender, propertyType, isUrban |
get_locality_insights | Get 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 Inputs: locality, city |
get_property_decision_intelligence | Assess 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 + item Inputs: listingId, propertyValue, state, assetType, monthlyNetIncome, existingMonthlyEmis |
get_property_details | 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 catal Inputs: listingId |
optimize_home_loan_tax_regime | Compare 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 ta Inputs: annualIncome, isSalaried, homeLoanInterest, homeLoanPrincipal, propertyType, annualRent |
search_properties | Search 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 verifie Inputs: city, locality, propertyType, bedrooms, minPrice, maxPrice |
simulate_loan_prepayment | Simulate 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 save Inputs: outstandingPrincipal, remainingTenureYears, annualRatePercent, prepaymentAmount, recurringAnnualAmount, recurringMonthlyAmount |
Every block below points at https://mcp.avnester.com/public-mcp. Pick your client and copy.
claude mcp add --transport http avnester-indian-real-estate-inte https://mcp.avnester.com/public-mcp
{
"mcpServers": {
"avnester-indian-real-estate-inte": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.avnester.com/public-mcp"]
}
}
}{
"mcpServers": {
"avnester-indian-real-estate-inte": {
"url": "https://mcp.avnester.com/public-mcp"
}
}
}{
"servers": {
"avnester-indian-real-estate-inte": {
"type": "http",
"url": "https://mcp.avnester.com/public-mcp"
}
}
}{
"context_servers": {
"avnester-indian-real-estate-inte": {
"url": "https://mcp.avnester.com/public-mcp"
}
}
}{
"mcpServers": {
"avnester-indian-real-estate-inte": {
"serverUrl": "https://mcp.avnester.com/public-mcp"
}
}
}{
"mcpServers": {
"avnester-indian-real-estate-inte": {
"url": "https://mcp.avnester.com/public-mcp"
}
}
}name: AVnester — Indian Real Estate Intelligence
version: 0.0.1
schema: v1
mcpServers:
- name: AVnester — Indian Real Estate Intelligence
type: streamable-http
url: https://mcp.avnester.com/public-mcp{
"mcpServers": {
"avnester-indian-real-estate-inte": {
"httpUrl": "https://mcp.avnester.com/public-mcp"
}
}
}{
"mcpServers": {
"avnester-indian-real-estate-inte": {
"type": "http",
"url": "https://mcp.avnester.com/public-mcp"
}
}
}{
"mcpServers": {
"avnester-indian-real-estate-inte": {
"url": "https://mcp.avnester.com/public-mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.avnester.com%2Fpublic-mcp&type=streamable_http&id=avnester-indian-real-estate-inte&name=AVnester%20%E2%80%94%20Indian%20Real%20Estate%20Intelligence
It answered our last check on 18 October 2026 in 457 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by avnester.com and served from mcp.avnester.com, the vendor's own domain: https://mcp.avnester.com/public-mcp.
11, as returned by the server's own tools/list on 10 September 2026: calculate_home_affordability, compare_balance_transfer, compare_localities, compare_properties, estimate_stamp_duty_and_registration, get_locality_insights, get_property_decision_intelligence, get_property_details, and 3 more.
It answered our last check on 18 October 2026 in 457 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.avnester.com/public-mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.avnester.mcp. Endpoint host: mcp.avnester.com. ARD identifier: urn:air:com.avnester.mcp:mcp:property-intelligence.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.