How do I install Dataraum?

Dataraum is a local plugin. Install it using PyPI package: dataraum and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

What credentials does Dataraum need?

Dataraum requires the following credentials or environment variables: ANTHROPIC_API_KEY, DATARAUM_HOME. You can find setup instructions on the server detail page.

What AI apps work with Dataraum?

Dataraum uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Dataraum MCP Server

by Dataraum

Developer ToolsLow Risk9.5MCP RegistryLocal

Free

Server data from the Official MCP Registry

Pre-computed metadata context engine for AI-driven data analytics

About

Pre-computed metadata context engine for AI-driven data analytics

Security Report

9.5

Low Risk9.5Low Risk

Valid MCP server (2 strong, 1 medium validity signals). 1 known CVE in dependencies Package registry verified. Imported from the Official MCP Registry.

4 files analyzed · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

env_vars

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database

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What You'll Need

Set these up before or after installing:

Anthropic API key for LLM-powered semantic analysisRequired

Environment variable: ANTHROPIC_API_KEY

Root directory for workspaces, sessions, and exportsOptional

Environment variable: DATARAUM_HOME

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-dataraum-dataraum": {
      "env": {
        "DATARAUM_HOME": "your-dataraum-home-here",
        "ANTHROPIC_API_KEY": "your-anthropic-api-key-here"
      },
      "args": [
        "dataraum"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

DataRaum

A rich metadata context engine for AI-driven data analytics.

Traditional semantic layers tell BI tools "what things are called." DataRaum tells AI "what the data means, how it behaves, how it relates, and what you can compute from it."

Monorepo layout

packages/
├── engine/     # Python — pipeline, detectors, Starlette kernel shell
├── cockpit/    # TypeScript — TanStack Start web UI
└── infra/      # docker-compose orchestration

Each package has its own README. Start there if you're working in a specific package.

Status — transitioning to v1

DataRaum is mid-pivot. v0.2.x exposed a 12-tool MCP server over HTTP. That transport is gone. v1 is a 3-verb kernel + cockpit:

engine — Python pipeline + Starlette kernel shell exposing three verbs over HTTP: /measure (SSE), /query (Arrow), /probe (read-only SQL), plus /health.
cockpit — TanStack Start app that hosts the chat surface, renders the agentic widgets, and reads the engine's metadata schema directly via Drizzle (introspected per workspace).

Today the substrate boots and you can poke /health. The 3 kernel verbs are 501 stubs and get filled in phase-by-phase per the DAT-339 pivot. No end-user surface yet — if you need v0.2.x MCP behavior, pin dataraum==0.2.2.

Quick start

# Set the LLM key
cp packages/infra/.env.example packages/infra/.env
echo "ANTHROPIC_API_KEY=sk-ant-..." >> packages/infra/.env

# Bring up Postgres + control plane + cockpit
docker compose -f packages/infra/docker-compose.yml up -d --wait

# Verify the substrate
curl -fsS http://localhost:8000/health

# Open the cockpit
open http://localhost:3000

For UI iteration, run the cockpit dev server outside docker for hot reload — see packages/cockpit/README.md.

Develop

Engine (Python): cd packages/engine && uv sync --group dev && uv run pytest --testmon tests/unit -q. See packages/engine/README.md and packages/engine/CLAUDE.md.
Cockpit (TypeScript): cd packages/cockpit && bun install && bun run dev. See packages/cockpit/README.md and packages/cockpit/CLAUDE.md.
Pull the engine metadata schema (cockpit): cd packages/cockpit && DATARAUM_WORKSPACE_ID=<id> METADATA_DATABASE_URL=<url> bun run db:pull:metadata. Re-run after the engine adds/changes SQLAlchemy models.

Documentation

User-facing docs live in packages/engine/docs/ and are published via Zensical.

License

MIT — see LICENSE.

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Dataraum MCP Server

About

Security Report

Findings (2)

Permissions Required

What You'll Need

How to Install

Documentation

DataRaum

Monorepo layout

Status — transitioning to v1

Quick start

Develop

Documentation

License

Reviews

No reviews yet

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