← d-nvest.com

INDIVIDUAL MCP TOOL

describe_dataset

Get the full public profile of one dataset opportunity: what the data is, its modality, the AI use-case it fits, who holds it, rarity, legal constraints and how to request access.

d-nvest.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://d-nvest.com/public/mcp

No auth detected

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

Indexed input schema

{}

Risk classification

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.

Parent server

d-nvest.com

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

[mcp_servers.d-nvest]
url = "https://d-nvest.com/public/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "d-nvest": {
      "type": "http",
      "url": "https://d-nvest.com/public/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: d-nvest
Remote MCP URL: https://d-nvest.com/public/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": {
    "d-nvest": {
      "url": "https://d-nvest.com/public/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "d-nvest": {
      "type": "http",
      "url": "https://d-nvest.com/public/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "d-nvest",
  "transport": "streamable-http",
  "url": "https://d-nvest.com/public/mcp"
}
MCP Inspector

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

Related tools

  • search_datasets — Search d-nvest's catalogue of proprietary datasets available for AI training or licensing.
  • list_facets — List the sectors, dataset types, modalities and AI use-cases that actually exist in the catalogue, with counts.