MCP server

Spatial India Official

com.spatialindia/spatial-india

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

District-level open data for India — Census, NFHS-5, NCRB, RBI and more, joined onto one geography.

Website

At a glance

Type

MCP server

Publisher

spatialindia.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,432 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS 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 spatial-india https://api.spatialindia.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.spatial-india]
url = "https://api.spatialindia.com/mcp"

Gemini CLI

{"mcpServers":{"spatial-india":{"httpUrl":"https://api.spatialindia.com/mcp"}}}

Cursor

{"mcpServers":{"spatial-india":{"url":"https://api.spatialindia.com/mcp"}}}

VS Code

{"servers":{"spatial-india":{"type":"http","url":"https://api.spatialindia.com/mcp"}}}

Antigravity

agy mcp add spatial-india https://api.spatialindia.com/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":"spatial-india","server_url":"https://api.spatialindia.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"spatial-india","server_url":"https://api.spatialindia.com/mcp"}

Tools

• build_map_link ~282 tokens
  Use to end an answer with a link the user can open — after any ranking, comparison or district lookup, and whenever they ask to see, map or visualise something. Returns a spatialindia.com/app URL showing exactly those indicators. One indicator draws a choropleth, two draw a bivariate map; a third ca
• compare_districts ~193 tokens
  Use when the question names two or more places and asks how they differ — "compare Pune and Nagpur on literacy and bank credit". One call, not one get_district per district. Write an ambiguous name as "Bilaspur, Chhattisgarh".
• find_indicator ~197 tokens
  Use FIRST, before any other tool, whenever a question names a subject rather than an indicator id — "stunting", "land inequality", "bank credit". Returns matching indicator ids with their unit, source, vintage, caveat and district coverage. Every other tool needs an id from here; ids are not guessab
• get_district ~278 tokens
  Use when the question is about one named place — "tell me about Bilaspur", "what is Pune's literacy rate". Resolves an Indian district name, including common alternative spellings, to its objectid and returns its values. Four district names are shared by two states, so if the name is ambiguous this
• get_methodology ~200 tokens
  Use whenever the answer will state a number to a user, and always when asked how a figure was produced, how old it is, or whether it can be trusted. Returns the source, vintage, definition, caveat, estimation method, licence attribution and the citation string for one indicator, or for the dataset a
• rank_districts ~282 tokens
  Use for best/worst/highest/lowest questions over many districts — "worst 20 districts for child stunting in Uttar Pradesh". Check the indicator's `polarity` in the result before calling a tail "worst": for a higher-worse indicator the worst districts are `order: "desc"`, for higher-better they are `

Browse

• Maps and places
• Government and public data

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