Spatial India
District-level open data for India — Census, NFHS-5, NCRB, RBI and more, joined onto one geography.
What it can do
What data it sees
Do you need an account
No: the server works without sign-in
District-level open data for India — Census, NFHS-5, NCRB, RBI and more, joined onto one geography.
How to connect
How to connect Spatial India to Claude
The server address to paste into Claude settings:
https://api.spatialindia.com/mcp
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Spatial India to ChatGPT
The server address to paste into ChatGPT settings:
https://api.spatialindia.com/mcp
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Spatial India to Cursor
The server address to paste into Cursor settings:
https://api.spatialindia.com/mcp
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (6)
Raw names from tools/list. Only developers need these.
| find_indicator | 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 guessable and inventing one fails. |
| get_district | 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 returns every match with its state and no data: ask the user which one, then call again with `state`. |
| compare_districts | 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". |
| rank_districts | 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 `order: "asc"`. Districts the source never covered sort last in both directions and are never presented as an extreme. |
| get_methodology | 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 as a whole when no indicator is given. Do not describe a number as measured or estimated without checking here — each district carries its own `estimated` flag. |
| build_map_link | 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 cannot be expressed in a link and is reported back as dropped. |