Categories › Data & Databases › SQL databases
District-level open data for India — Census, NFHS-5, NCRB, RBI and more, joined onto one geography.
Remote server: your requests and data go to api.spatialindia.com. Claude Code: claude mcp add --transport http spatial-india https://api.spatialindia.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
find_indicator — Use FIRST, before any other tool, whenever a question names a subject rather than an indicator id — "stunting", "land inequality", "bank creget_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,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, nrank_districts — Use for best/worst/highest/lowest questions over many districts — "worst 20 districts for child stunting in Uttar Pradesh". Check the indicaget_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 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 Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.