INDIVIDUAL MCP TOOL

search_datasets

Search the published DesiData catalogue.

desidata.innone authenticationAvailability not checked

LIVE ENDPOINT

https://lqcxdxjncdzzkwgveydz.supabase.co/functions/v1/mcp

No auth detected

Connect to this endpoint to inspect the live schema for search_datasets and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.desidata]
url = "https://lqcxdxjncdzzkwgveydz.supabase.co/functions/v1/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "desidata": {
      "type": "http",
      "url": "https://lqcxdxjncdzzkwgveydz.supabase.co/functions/v1/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: desidata
Remote MCP URL: https://lqcxdxjncdzzkwgveydz.supabase.co/functions/v1/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "desidata": {
      "url": "https://lqcxdxjncdzzkwgveydz.supabase.co/functions/v1/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "desidata": {
      "type": "http",
      "url": "https://lqcxdxjncdzzkwgveydz.supabase.co/functions/v1/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "desidata",
  "transport": "streamable-http",
  "url": "https://lqcxdxjncdzzkwgveydz.supabase.co/functions/v1/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

get_dataset_details — Get provenance, licence, size, row count, tags, and links for one published dataset.
preview_dataset — Return a small CSV preview for one published dataset: at most 10 rows, 12 columns, and 64 KiB read from storage.
get_notebook_example — Return the website's starter notebook URL and concise instructions.
generate_loader_code — Generate a small Python example using the published dataset slug.