Pre-computed metadata context engine for AI-driven data analytics
uvx dataraum{
"ANTHROPIC_API_KEY": "YOUR_SECRET_VALUE",
"DATARAUM_HOME": "YOUR_VALUE_HERE"
}Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
{
"mcpServers": {
"io-github-dataraum-dataraum": {
"command": "uvx",
"args": [
"dataraum"
],
"env": {
"ANTHROPIC_API_KEY": "YOUR_SECRET_VALUE",
"DATARAUM_HOME": "YOUR_VALUE_HERE"
}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonNo remote HTTP endpoint is advertised. Use the package or stdio setup shown in Install.
DataRaum is an MCP server for Pre-computed metadata context engine for AI-driven data analytics. It supports STDIO transport.
Use the generated config in Install. This server runs with uvx dataraum; add any required environment variables before starting your client.
Choose the Claude Desktop tab in Install and copy the config for uvx dataraum. Add required environment variables before starting Claude Desktop.
Choose the Claude Code tab in Install and copy the config for uvx dataraum. Add required environment variables before starting Claude Code.
Choose the Codex tab in Install and copy the config for uvx dataraum. Add required environment variables before starting Codex.
Choose the Cursor or VS Code tab in Install and copy the config for uvx dataraum. Add required environment variables before starting Cursor or VS Code.
DataRaum uses STDIO transport. Use the package or command config in Install.
DataRaum inventory is listed when the MCP endpoint exposes tools, resources, or prompts. Some servers require auth first.
DataRaum is marked with Auth required by registry metadata auth. You may need provider login, an API key, a bearer token, or a session header.
| Package | Registry | Version | Inputs |
|---|---|---|---|
dataraumstdio | pypi | 0.2.1 | Env: ANTHROPIC_API_KEY required secret Env: DATARAUM_HOME |