# Avnester Property Intelligence MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.avnester.mcp%2Fproperty-intelligence
Registry id: `mcp-registry/com.avnester.mcp/property-intelligence`
Status: live (checked 2026-10-26T23:41:08.758Z)

## Verdict

Avnester Property Intelligence MCP server answered 100% of Glimind's liveness checks over 30 days, better than 42% of MCP servers, with 1178 ms median handshake and 2 outages in 90 days. Its agent-readiness grade is A (97/100) across 11 tools, costing an agent about 5,965 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 100% | 42% of MCP servers |
| Median handshake latency | 1178 ms | 15% of MCP servers |
| p95 handshake latency | 3394 ms | — |
| Checks in 30 days | 4,976 | — |
| Outages, 90 days | 2 | — |
| Median recovery | 16 min | — |
| Agent-readiness score | 97/100 (A) | 91% of MCP servers |
| Tools | 11 | — |
| Tool-list size for an agent | ~5,965 tokens | 36% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "avnester-property-intelligence-mcp-serve": {
      "type": "http",
      "url": "https://mcp.avnester.com/public-mcp"
    }
  }
}
```

Claude Code:

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

## Tools (11)

- `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
- `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 
- `compare_localities`: 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
- `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
- `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 overri
- `get_locality_insights`: Get aggregated insights for one locality: ₹/sqft, supply count, demand pulse, livability/investment grade, highlights, watchouts, monthly priceTrends, and stren
- `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/
- `get_property_details`: Fetch full public details for one AVnester listing by its listingId (from search_properties results — IDs are not guessable). Listings cover Tamil Nadu; unknown
- `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
- `search_properties`: 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 transactio
- `simulate_loan_prepayment`: 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

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.