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Footprint MCP Server

by tigermanonfire Your server? Claim it
answering

Footprint is answering right now. Last checked moments ago. It exposes 4 tools.

India building growth, govt. land rates and price outlook per ~0.7 sq km area. Read-only.

Uptime history 32 hours of history
32 hours agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
971 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check Footprint every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

run in your terminal
claude mcp add footprint --transport http https://34-180-4-88.sslip.io/mcp
Settings → Connectors → Add custom connector, then paste this address
https://34-180-4-88.sslip.io/mcp
~/.codex/config.toml
[mcp_servers.footprint]
url = "https://34-180-4-88.sslip.io/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "footprint": {
      "url": "https://34-180-4-88.sslip.io/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "footprint": {
      "type": "http",
      "url": "https://34-180-4-88.sslip.io/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

footprint
footprint_compare_areas
Compare 2 to 4 areas in India side by side: price today, price outlook, building growth, how built-up, govt. rates. Use for "Whitefield vs Gachibowli", "compare these three villages". Returns a table with one column per area and a link to each area's page. Prices are labelled by kind; a city-wide average is marked and is not comparable with a govt. rate. Names take the best search match: for villages with common names, find coordinates with footprint_search_places first and pass 'lat,lon'.
footprint_get_area
Report on the ~0.7 sq km area at a point in India: what land costs, how fast it is being built on, and the price outlook. Use for questions like "how fast is Whitefield growing", "what is the govt. land rate in Karumuru", "is this locality built out". Give `place` or both `lat` and `lon` (coordinates are exact; a name takes the best match). Returns: price today and what kind of price it is (city-wide average, govt. plot rate, or none), price outlook per year with a 5-year range, share of ground built on, building growth over 5 years, building count and height, the state's govt. plot and farmland rates with their year, nearby asking prices where listed, a reliability grade, and a link to the area's page with the charts. Covers India only.
footprint_search_places
Find places in India by name and get their coordinates, to use with the other Footprint tools. Searches about 1.2 million places down to villages. Indian village names repeat heavily (dozens of Rampurs), so each match gives its kind (city, town, village, locality, district, state), its state and, for villages and localities, the nearest town ("near Zaidpur"). Returns name, kind, state, near, lat, lon for each match, best first. A pasted "lat, lon" also works.
footprint_top_areas
List the top ~0.7 sq km areas in an Indian state or district, ranked by building growth, building count, height or price outlook. Use for "where is building fastest in Karnataka", "fastest-growing areas near Pune", "tallest neighbourhoods in Goa". Only areas with enough buildings to measure are ranked, one row per village or locality. Each row gives the place, its nearest town, the ranked figure, the share of ground built on five years ago and now, building count, a price where one is published, and coordinates for footprint_get_area. A ranking, not advice.

Endpoints

URLTransportStateLatencyChecked
https://34-180-4-88.sslip.io/mcp streamable-http answering 886 ms 0 min ago

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Footprint — questions

Answers built from our own checks of this server.

What can Footprint do?
It exposes 4 tools, read directly from the server on our last check. Among them: footprint_compare_areas, footprint_get_area, footprint_search_places, footprint_top_areas. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Footprint working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 971 ms. The bar chart above shows every period we have measured.
How do I connect Footprint?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Footprint need an API key?
No. Footprint completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Footprint?
It answers our handshake in 971 ms on average, which is faster than 9% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.