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dataville.com

An MCP server that lists available Dataville data sources and allows searching any of them by keyword.

1 endpoint2 known toolsFirst detected September 6, 2026Last detected October 9, 2026

ENDPOINT 1

https://api.dataville.com/mcp

No auth detected

MCP server metadata

Name
dataville
Version
1.0.0
Capabilities
tools.listChanged

Known tools 2

list_dataville_sources

List the data sources available through the search_dataville tool.

Inferred read-only
search_dataville

Query one of Dataville’s data sources (see list_dataville_sources for valid names) with a keyword string.

Inferred read-only

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.dataville]
url = "https://api.dataville.com/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "dataville": {
      "type": "http",
      "url": "https://api.dataville.com/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: dataville
Remote MCP URL: https://api.dataville.com/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": {
    "dataville": {
      "url": "https://api.dataville.com/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "dataville": {
      "type": "http",
      "url": "https://api.dataville.com/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "dataville",
  "transport": "streamable-http",
  "url": "https://api.dataville.com/mcp"
}
MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.