mcp-superset

Name: mcp-superset Review
Item: mcp-superset
Rating: 3.1
Author: Aaron Matthews

Connector Data & Analytics Usable

Works inClaude Code Claude Cowork Claude Chat

Usable Scanned — metadata only

Enables programmatic control over Superset dashboards, charts, and datasets—reducing manual BI administration overhead and enabling data teams to scale self-…

MCP server for managing Apache Superset — 128+ tools for dashboards, charts, datasets, SQL Lab, access control

Generate new dashboard with charts from existing datasets in Superset
Query databases directly through SQL Lab and export results for analysis
Create dataset definitions and manage column access controls across teams

49 starsMIT (commercial OK)Free

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Enables programmatic control over Superset dashboards, charts, and datasets—reducing manual BI administration overhead and enabling data teams to scale self-service analytics without bottlenecks.

Best for

Data platform teams managing multi-tenant analytics environments or enterprises standardizing BI governance and automation.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/bintocher/mcp-superset

By bintocher

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add mcp-superset -- npx -y mcp-superset

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me generate new dashboard with charts from existing datasets in Superset

CostFree

Trust Signals Auto-scanned

Stars49Contributors3Last updated2026-07-25LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 49 GitHub stars; 3 contributors; last commit 0d ago; license MIT.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

2/5

Reliability

4/5

Security

4/5

Overall score3.15 / 5.00 UsableEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 49 GitHub stars; 3 contributors; last commit 0d ago; license MIT.

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