# Preset Mcp Data

> 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.

- **Type:** Skill
- **Install:** `agentstack add skill-preset-io-agent-skills-preset-mcp-data`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [preset-io](https://agentstack.voostack.com/s/preset-io)
- **Installs:** 0
- **Category:** [Databases](https://agentstack.voostack.com/c/databases)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [preset-io](https://github.com/preset-io)
- **Source:** https://github.com/preset-io/agent-skills/tree/master/plugins/preset-mcp-skills/skills/preset-mcp-data
- **Website:** http://www.preset.io

## Install

```sh
agentstack add skill-preset-io-agent-skills-preset-mcp-data
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## 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.

- **Author:** [preset-io](https://github.com/preset-io)
- **Source:** [preset-io/agent-skills](https://github.com/preset-io/agent-skills)
- **License:** Apache-2.0
- **Homepage:** http://www.preset.io

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-preset-io-agent-skills-preset-mcp-data
- Seller: https://agentstack.voostack.com/s/preset-io
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.