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Connect data sources and let LLMs reason over the retrieved data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dg-mcp-server" yet — see the docs or source repo.
After connecting the sales tables, summarize the last 12 months of revenue, order count, and average order value by month, then explain the main reasons for major fluctuations.
A monthly data summary, key trend findings, and a brief analysis of unusual changes.
Read the user behavior data, identify the user segments with the sharpest retention decline in the last 30 days, and explain possible reasons.
The relevant user segments, retention change results, and data-based reasoning about possible causes.
Read the connected datasets, list the main fields and distribution overview, and highlight anomalies worth further investigation.
A summary of the data structure, distribution overview, and anomaly leads for deeper investigation.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Manage DataMammoth infrastructure and operations through natural language commands.
Connect to dbt via MCP to inspect projects and run data workflows.
Connect to PostgreSQL and MySQL, run SQL, and manage database transactions.
Query cloud geospatial data at scale with zero-setup SQL access.
Connect LLM apps to query and manage multiple databases through one tool.