| name | aidp-connectors-bootstrap |
| description | First-time setup. Use when the user wants to install/upload the AIDP Spark connectors helper package into their AIDP workspace, or has just installed this plugin and asks "how do I set it up", "first-time setup", "install the helpers", "bootstrap aidp connectors". Drives the AIDP MCP tools to push the helper package to /Workspace/Shared/ and runs a sanity import. |
| allowed-tools | Read, Bash |
aidp-connectors-bootstrap — first-time setup of the helper package in AIDP
When to use
- The user just installed the plugin and asks "how do I set this up?", "what's the first step?", "install the helpers".
- The user runs a connector skill for the first time and gets
ModuleNotFoundError: No module named 'oracle_ai_data_platform_connectors'.
- The user explicitly asks to upload the helper package to AIDP.
Outcome of running this skill
/Workspace/Shared/oracle_ai_data_platform_connectors/scripts/oracle_ai_data_platform_connectors/ exists in the user's AIDP workspace, populated from the plugin's local scripts/ directory.
- The user has run
examples/00_bootstrap_helpers.ipynb once and it printed BOOTSTRAP OK.
- From that point on, every connector skill works without further setup.
What the assistant should do
Step 1 — locate the plugin's scripts/ directory on disk
The plugin lives wherever the user installed it. Common locations:
~/.claude/plugins/<marketplace>/oracle-ai-data-platform-workbench-spark-connectors/scripts/oracle_ai_data_platform_connectors/
~/.codex/plugins/<marketplace>/oracle-ai-data-platform-workbench-spark-connectors/scripts/oracle_ai_data_platform_connectors/
- A local clone or repo checkout when developing.
Search the installed plugin cache and the local repo checkout for scripts/oracle_ai_data_platform_connectors/. Confirm the source and destination paths with the user before uploading.
Step 2 — create the destination directory in AIDP
Use the AIDP MCP tools:
mcp__aidp__create_directory(
workspace_id="<user's workspace id>",
path="/Workspace/Shared/oracle_ai_data_platform_connectors"
)
mcp__aidp__create_directory(
workspace_id=...,
path="/Workspace/Shared/oracle_ai_data_platform_connectors/scripts"
)
(If the workspace_id isn't already known from the conversation, ask the user.)
Step 3 — upload the package files
For each .py file under the local scripts/oracle_ai_data_platform_connectors/, upload to the matching path under /Workspace/Shared/oracle_ai_data_platform_connectors/scripts/. Use mcp__aidp__upload_file (or the equivalent in this MCP server).
The package layout to preserve:
oracle_ai_data_platform_connectors/
├── __init__.py
├── auth/{__init__,wallet,dbtoken,oci_config,user_principal,secrets}.py
├── jdbc/{__init__,oracle,hive}.py
├── rest/{__init__,fusion,epm,essbase}.py
└── streaming/{__init__,kafka}.py
Step 4 — push the bootstrap notebook to AIDP and run it
Upload examples/00_bootstrap_helpers.ipynb to Shared/connectors-tests/00_bootstrap_helpers.ipynb via mcp__aidp__nb_save_file. Then mcp__aidp__nb_create_session against the user's chosen cluster (typically tpcds), and mcp__aidp__nb_execute_code for each cell. The final cell prints BOOTSTRAP OK if everything works.
Step 5 — confirm
Tell the user:
- Where the helpers landed.
- That every connector skill in this plugin will now work.
- The next step is to pick a connector (e.g.,
aidp-atp) and supply that connector's env vars / Vault secrets.
Alternative: ask the user to install via PyPI (v1.0+)
Once the package is published to PyPI, this skill should pivot to telling the user to run %pip install oracle-ai-data-platform-connectors in any AIDP cell instead of uploading. Until v1.0 ships, the Workspace-upload path above is the only way.
What NOT to do
- Do not upload anything to
/Workspace/Shared/ without confirming the path with the user (in case they have an existing convention).
- Do not write secrets, .env contents, or PEM keys anywhere in
/Workspace/Shared/. The helper package is code-only.
- Do not skip the sanity-import notebook — it's how you (and the user) confirm the upload worked, not just that files exist.
References