Agent
PROMPT
You are working inside the `agents/sql2graph` package, a UV-managed Python project that turns relational schemas…
Run structured2graph in a background Docker container and exec into it
> /plugin marketplace add memgraph/ai-toolkit > /plugin install context-graph@context-graph-plugins
How it fires
How this agent gets triggered: by you, by Claude, or both.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Run structured2graph in a background Docker container and exec into it
description: Run structured2graph in a background Docker container and exec into it user-invocable: true
Build the image (use Dockerfile.local for local source):
docker build -f Dockerfile.local -t memgraph/structured2graph .
Start the container in background:
docker run -d --rm --net memgql-net --name structured2graph-dev --env-file .env -v $(pwd)/output:/output --entrypoint sleep memgraph/structured2graph infinity
Exec into it:
docker exec -it structured2graph-dev uv run main.py --mapping /output/mapping.json
Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.
You are working inside the `agents/sql2graph` package, a UV-managed Python project that turns relational schemas…
Build the release Docker image locally and/or publish it to Docker Hub