DataRaum
Pre-computed metadata context engine for AI-driven data analytics
MCP server · by dataraum
About
DataRaum is an MCP server published by dataraum. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-13.
What it asks for
- Runs on your machine
- Secrets: 1
- Settings: 2
Requires: ANTHROPIC_API_KEY (secret)
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Package
PyPI dataraum (dataraum on PyPI)
- Not found on PyPI when we last checked (2026-10-13)
PyPI facts come from pypi.org, PyPI downloads from pypistats.org. Each figure is the registry's own and is never added to another. A registry that publishes no figure shows none: no number is not zero.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: PyPI package
Built from what Official MCP Registry declares.
claude mcp add --env "ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>" --transport stdio dataraum -- uvx dataraum
[mcp_servers.dataraum]
command = "uvx"
args = ["dataraum"]
[mcp_servers.dataraum.env]
ANTHROPIC_API_KEY = "<YOUR_ANTHROPIC_API_KEY>"
{
"mcpServers": {
"dataraum": {
"command": "uvx",
"args": [
"dataraum"
],
"env": {
"ANTHROPIC_API_KEY": "<YOUR_ANTHROPIC_API_KEY>"
}
}
}
}
Replace the values in angle brackets with your own. We show the names of the settings, never values.
Optional settings it also lists: DATARAUM_HOME.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.2.1 | Forks (GitHub): 0 Stars (GitHub): 3 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
mcp ai.matih/mcp
The grounded data layer for any LLM: governed SQL, metrics, lineage and catalog over your data.
-
Mini Data Engine Runtime Copilot
MCP runtime copilot for health checks, regressions, explainability, and operational memory.
-
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
-
syntitan-mcp ai.syntitan/syntitan-mcp
AI-Ready Data Platform that fills the missing layer between data management and AI execution.
-
Cloud-hosted MCP server for secure AI access to enterprise data sources via CData Connect AI.
-
Use Everyn's hosted MCP server to turn datasets into reviewed, exportable results.
-
Valid and reliable data engineering and statistical analysis without hallucinations.
-
AI business intelligence: sign up, ingest data, run analyses, generate reports from any MCP client.
-
dingdawg-data-agent io.github.dingdawg/dingdawg-data-agent
AI data agent — schema analysis, query optimization, PII detection, pipelines.
-
mcp co.axiom/mcp
List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
-
Honeydew AI plugins for semantic data modeling and data analysis — 9 skills, 3 hooks, multi-platform support.
-
End-to-end data analysis workflow plugin for Claude Code. Covers the full pipeline from EDA to model training - EDA, preprocessing, statistical analysis, feature engineering, and…
-
DataRobot Agent Skills - Agentic skills for DataRobot enterprise AI and ML workflows. Covers model training, deployment, predictions, feature engineering, monitoring…
-
Credible analysis tools (Malloy semantic model search, query execution, and analysis skills) for your Credible workspaces.
Has a listing on Claude Code: claude-plugins-official (5)
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
oracle-ai-data-platform-workbench-engineer-agent
Oracle AI Data Platform (AIDP) Workbench engineer agent for Claude Code — a 37-skill agent that operates the full Spark/Delta lakehouse in natural language. Discovers your catalog…
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
Has a listing on Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Answer product and business questions with data
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
Analyze Mixpanel data with the mixpanel_headless Python SDK and Codex skills.
-
PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
Has a listing on Community GitHub marketplaces (5)
-
Git-native content governance for AI agents — 27 deterministic MCP tools over stdio and HTTP.
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Stop shipping agents on vibes — agent eval for any MCP workflow. Score output quality, catch PII and prompt injection, verify citations, and enforce cost budgets. 12 MCP tools +…
-
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Explore and query TimeBase streams, schemas, QQL, symbols, and server status via MCP.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
Has a listing on Cursor: cursor/plugins (5)
-
Explore datasets and tables and run SQL queries.
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
-
Track AI visibility, sentiment, and citations.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
Has a listing on Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools.
-
Analyze documents, images, videos, and audio.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
Has a listing on Official MCP Registry (5)
-
mcp ai.matih/mcp
The grounded data layer for any LLM: governed SQL, metrics, lineage and catalog over your data.
-
Mini Data Engine Runtime Copilot
MCP runtime copilot for health checks, regressions, explainability, and operational memory.
-
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
-
syntitan-mcp ai.syntitan/syntitan-mcp
AI-Ready Data Platform that fills the missing layer between data management and AI execution.
-
Cloud-hosted MCP server for secure AI access to enterprise data sources via CData Connect AI.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.