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One command to try Exasol with AI add-ons (MCP Server, JSON Tables).

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 JSON Tables (JSON → SQL).

Usage

pipx install exasol-quickstart
exasol-quickstart                 # brings up the full bundle (needs Docker running)

That's it. On any OS with Docker it starts three containers on a shared network:

  • Exasol Nano — the database, 127.0.0.1:8563 (sys / exasol)
  • MCP Serverhttp://127.0.0.1:4896/mcp (point your LLM / MCP client here)
  • JSON Tables — built once from source, run via exasol-quickstart json-tables …

Other commands

exasol-quickstart --dry-run            # show the plan, change nothing
exasol-quickstart --no-json-tables     # DB + MCP only (skip JSON Tables)
exasol-quickstart json-tables --help   # run the JSON Tables CLI in its container
docker rm -f exasol-quickstart-db exasol-quickstart-mcp exasol-quickstart-json-tables   # stop

Status (0.3.0): the bare command auto-selects the base — Nano + Docker when Docker is available (tested end-to-end: DB + MCP + JSON Tables incl. ingest), or the OS-native no-Docker base when it isn't (Exasol Personal on macOS / Nano .run on Linux — experimental, not yet validated end-to-end). Same bare command everywhere.

Auto base selection — same command, smarter under the hood

Situation Base used Add-ons Status
Any OS with Docker Exasol Nano (Docker) sidecar containers tested
macOS (Apple Silicon), no Docker Exasol Personal (local VM) host: MCP (pipx) + JSON Tables (venv) experimental
Linux, no Docker Exasol Nano (native .run) host roadmap

Force a specific base with --base nano-docker|personal|nano-native.

Full design, decision graph, pros/cons, and requirements: https://krishna-exasol.github.io/bundle-installation-methods/case-studies/recommended-approach/

License

MIT.

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