One command to try Exasol with AI add-ons (MCP Server, JSON Tables). Preview — name placeholder.
Project description
exasol-quickstart
One command to try Exasol with AI add-ons — a base Exasol database plus the MCP Server (LLM/agent access) and, optionally, JSON Tables (JSON → SQL), chosen automatically for your operating system.
Status (
0.1.1): brings up Exasol Nano (database) + the official Exasol MCP server image as a sidecar, via Docker, on any OS — tested end-to-end. The per-OS native bases (Personal on macOS, Nano.runon Linux) and JSON Tables are next.
Usage
# from PyPI (reserved name) — or the latest from git:
pipx install git+https://github.com/krishna-exasol/exasol-quickstart.git
exasol-quickstart --base nano-docker # Exasol Nano + MCP (works today, any OS w/ Docker)
exasol-quickstart --dry-run # show the plan without doing anything
exasol-quickstart --help
After it comes up: database on 127.0.0.1:8563 (sys/exasol), MCP at
http://127.0.0.1:4896/mcp. Stop with docker rm -f exasol-quickstart.
How it will work (per OS)
| OS | Base | Add-ons | Docker? |
|---|---|---|---|
| macOS (Apple Silicon) | Exasol Personal (local VM) | host: MCP + JSON Tables | No |
| Linux | Exasol Nano (native .run) |
Nano stacks | No |
| Windows | Exasol Nano (Docker) | Nano stacks | Yes |
Full design, decision graph, pros/cons, and requirements: https://krishna-exasol.github.io/bundle-installation-methods/case-studies/recommended-approach/
License
MIT.
Project details
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