S
Claude CodeLet an agent run cells and query your real database
AI Data Analyst: Jupyter + Postgres MCP Notebook Lab
setuproll@setuproll92.0Overall score
An agentic exploratory-analysis setup where the model writes notebook cells, executes them, reads the outputs, and pulls live tables through a Postgres MCP server. Built for analysts and data scientists who want a real read-eval loop instead of copy-pasting code that never runs.
92.0Score
1.7kVotes
5Components
Install this build
terminal
claude mcp add postgres -- npx -y @modelcontextprotocol/server-postgresComponents
Model
- Claude Opus 4.8
- Claude Sonnet 4.6 for cheaper runs
MCP servers
- jupyter
- postgres
- filesystem
- github
Subagents
- eda-explorer
- feature-engineer
- chart-reviewer
Stack
- JupyterLab
- pandas
- Polars
- DuckDB
- Plotly
How it works
- Postgres MCP lets the agent inspect schemas and pull samples
- Jupyter MCP runs each cell and feeds outputs back to the model
- eda-explorer profiles columns, finds nulls, plots distributions
- chart-reviewer rejects misleading axes before you trust a figure
Summary
An agentic exploratory-analysis setup where the model writes notebook cells, executes them, reads the outputs, and pulls live tables through a Postgres MCP server. Built for analysts and data scientists who want a real read-eval loop instead of copy-pasting code that never runs.
92.0 score 1.7k votes
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