A
licenseNot graded
qualityA
maintenanceConverts YouTube videos, audio, documents, and web pages to clean markdown with YAML frontmatter, providing AI assistants with structured content via the MCP protocol.
4
MIT
mindlm-mcp
by qingchejun
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TDQS
A4.2/5.0
Scored across 4 tools
Disambiguation5/5
Each tool maps to a clearly distinct input source (raw text, URL, local PDF) plus one distinct output operation (HTML export). The only mild overlap is url_to_mindmap also accepting remotely-served PDFs, but the descriptions explicitly differentiate remote vs. local handling.
Naming Consistency4/5
Three tools share a clean {source}_to_mindmap pattern (text/url/pdf), and all four share the 'mindmap' suffix, making the set cohesive. export_mindmap deviates by using a verb_noun form rather than the source_to pattern, a minor inconsistency.
Tool Count4/5
Four tools is compact and each earns its place: three input adapters and one exporter form a coherent pipeline. It leans slightly thin—no redundancy, but little room for edge operations—so not quite ideal.
Completeness4/5
The surface covers the core lifecycle: acquire content from text/URL/PDF, produce an outline, and render standalone HTML. Gaps are minor—no import of an existing outline file and no alternative export formats (PNG/SVG/OPML)—but agents can work around them.
Maintenance
ActivityMaintained
ResponsivenessNo issues