MCP server

AVnester — Indian Real Estate Intelligence Official

com.avnester.mcp/property-intelligence

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Working at last checkVerified publisher: avnester.comAbout 6,138 tokens per request once connected11 tools

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

At a glance

Type: MCP server
Publisher: avnester.com (verified by the MCP Registry)
Status: Working at last check
Tools: 11
Token cost: About 6,138 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http property-intelligence https://mcp.avnester.com/public-mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.property-intelligence]
url = "https://mcp.avnester.com/public-mcp"

Gemini CLI

{"mcpServers":{"property-intelligence":{"httpUrl":"https://mcp.avnester.com/public-mcp"}}}

Cursor

{"mcpServers":{"property-intelligence":{"url":"https://mcp.avnester.com/public-mcp"}}}

VS Code

{"servers":{"property-intelligence":{"type":"http","url":"https://mcp.avnester.com/public-mcp"}}}

Antigravity

agy mcp add property-intelligence https://mcp.avnester.com/public-mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"property-intelligence","server_url":"https://mcp.avnester.com/public-mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"property-intelligence","server_url":"https://mcp.avnester.com/public-mcp"}

Tools

calculate_home_affordability ~361 tokens
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 lakh loan"). Use for "what would my EMI be" / "monthly payment
compare_balance_transfer Moves money · ~377 tokens
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
compare_localities ~298 tokens
Compare 2–3 localities in one city side-by-side: price trends, livability, investment grade, strengths, and watchouts. Use when the user asks "X vs Y" or "which is better for buying/renting" about neighborhoods. Covers cities AVnester publishes locality guides for; others return supported=false — su
compare_properties ~258 tokens
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 ₹/sqft) and say so. Returns each listing plus pricePerSqft, vsCheapestPercent (0
estimate_stamp_duty_and_registration ~921 tokens
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 itemize GST (under-construction 1%/5%, ready/resale 0%) for an
get_locality_insights ~239 tokens
Get aggregated insights for one locality: ₹/sqft, supply count, demand pulse, livability/investment grade, highlights, watchouts, monthly priceTrends, and strengthTags. Use when the user asks "what is X locality like". Covers cities AVnester publishes locality guides for; others return supported=fal
get_property_decision_intelligence ~1376 tokens
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 + itemized GST), regime-aware tax, and an indicative lender-fit tr
get_property_details ~240 tokens
Fetch full public details for one AVnester listing by its listingId (from search_properties results — IDs are not guessable). Listings cover Tamil Nadu; unknown or unpublished IDs return { listing: null, notFound: true } (never throws, to avoid leaking existence). Use when the user references a spec
optimize_home_loan_tax_regime ~899 tokens
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 tax benefit", or "section 80C / 24(b) deduction". Models §24(b
search_properties ~555 tokens
Search residential property listings anywhere in Tamil Nadu, India — any city or town. Use when the user names a place, locality, price band, BHK, or transaction type. Returns sanitized listing cards with handoff URLs and a per-listing verification summary (verified + caveats); never returns seller
simulate_loan_prepayment ~614 tokens
Simulate prepaying / repaying an Indian home loan early. 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

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