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SKILL verified Apache-2.0 Self-run

Preset Mcp Datasets

skill-preset-io-agent-skills-preset-mcp-datasets · by preset-io

Use Superset MCP tools for dataset inspection, semantic-layer querying, and virtual dataset creation. Use only for MCP tool workflows; do not use for direct API work.

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Install

$ agentstack add skill-preset-io-agent-skills-preset-mcp-datasets

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

preset-mcp-datasets

Use for dataset-centered MCP workflows.

Always

Use list_datasets and get_dataset_info for dataset discovery.
Respect permission-denied responses; do not work around them with chart, dashboard, SQL, or API calls.
Use saved metrics and dimensions from get_dataset_info; query_dataset accepts saved metrics only, not ad-hoc expressions. When no saved metric fits, compute the aggregate with execute_sql (route to preset-mcp-sqllab) instead of guessing metric names or stopping to ask.
Use query_dataset for semantic-layer data results.
Use create_virtual_dataset only when the user wants to save SQL as a chartable dataset.

Decision Rules

Metadata only: list_datasets, get_dataset_info.
Result table from metrics/dimensions: route through preset-mcp-data / query_dataset.
SQL-to-chartable-dataset workflow: create_virtual_dataset.
Visualization from dataset: route to preset-mcp-visualization.
Database discovery: use list_databases and get_database_info through discovery.

Workflow Order

Find the dataset with one list/search call (use a search filter and sufficient page_size); paginate or refine the filter only when the target is not in the returned page.
Inspect columns and metrics with one get_dataset_info call before data or chart workflows.
Query semantic-layer results only when the user asks for data.
Save virtual datasets only when persistence is requested.

Retrieve

Dataset workflows: [references/dataset-workflows.md](references/dataset-workflows.md)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Author: preset-io
Source: preset-io/agent-skills
License: Apache-2.0
Homepage: http://www.preset.io

Install and usage instructions live in the source repository linked above.

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Versions

v0.1.0 Imported from the upstream source.