datawrapper-mcp: A Model Context Protocol (MCP) server and app for creating Datawrapper charts using AI assistants

by palewire · MCP Server · ★ 51

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 73/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars51
Forks11
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score73/100
Open Issues4
Last Updated2026-09-13
Created2025-10-31
Platformsclaude-code, mcp, python
Est. Tokens~14k

About datawrapper-mcp

A Model Context Protocol (MCP) server and app for creating Datawrapper charts using AI assistants. Built on the datawrapper Python library. Example Usage You can provide a data file and simply ask for the chart you want. The draft will soon appear in the panel.

Compatible Skills

These tools work well together with datawrapper-mcp for enhanced workflows:

  • plane-mcp-server — semantic(0.42)+same_lang+similar_pop+shared_platform (50%)
  • sec-edgar-mcp — semantic(0.37)+same_lang+similar_pop+shared_platform (48%)
  • mcp-server-okppt — semantic(0.49)+same_lang+similar_pop+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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