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SKILL verified Apache-2.0 Self-run

Preset Mcp Data

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

Use Superset MCP data-returning tools for chart data, chart previews, rendered chart SQL, and dataset query results. 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-data

✓ 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-data

Use when the user needs data returned through MCP tools.

Always

  • Use MCP tools only; do not switch to REST chart-data, SQL Lab, or dataset endpoints.
  • Treat returned rows, rendered SQL, chart previews, and dataset query results as potentially sensitive.
  • Keep row limits, selected columns, metrics, filters, and formats narrow.
  • Use discovery tools first when identifiers, metrics, columns, or chart IDs are unknown.
  • Do not use data tools as a workaround after data-model permission denial.

Decision Rules

  • Use get_chart_data for existing chart result data.
  • Use get_chart_preview for renderable existing chart previews.
  • Use get_chart_sql to inspect rendered chart SQL without executing it.
  • Use query_dataset for semantic-layer metrics, dimensions, filters, and time ranges (saved metrics only; route ad-hoc aggregates to preset-mcp-sqllab).
  • Route chart creation to preset-mcp-visualization.

Workflow Order

  1. Classify which output the request needs: result data, preview content, SQL text, or semantic-layer output. Do not ask the user to re-confirm an explicit data request.
  2. Resolve the object and schema through discovery if needed.
  3. Choose get_chart_data, get_chart_sql, get_chart_preview, or query_dataset according to the requested output.
  4. Request a small result with narrow fields, row limits, and the least revealing format.
  5. Summarize data carefully; do not paste large raw payloads.

Retrieve

  • Data tool routing: [references/data-tools.md](references/data-tools.md)

Source & license

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

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

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Versions

  • v0.1.0 Imported from the upstream source.