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468,137 tools. Updated 2026-08-22 14:39

"An automated document generation system for software project documentation" matching MCP tools:

Matching MCP Servers

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    Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.
    4
    80
    MIT
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    An MCP server that exposes documents.js's document conversion, .odb, metadata, and font tooling as MCP tools, enabling agents to convert, inspect, and edit a wide range of document formats over stdio.
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    MIT

Matching MCP Connectors

  • Hosted governance layer for LLM agents. Seven mechanically-enforced rules plus audit-chain verification, preflight file protection, session handoff, and an emergency kill switch.

  • MCP server for Vonage API documentation, code snippets, tutorials, and troubleshooting.

  • Check the status of an async batch generation job. Poll until complete and retrieve progress, document count, and download URLs.
    MIT
  • Generate a design system (colors, typography, spacing) from a brand description. Returns DESIGN.md and ID for UI generation.
    MIT
  • List available system and custom personas for content generation, enabling you to select the appropriate voice for social media posts.
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  • Generate a design document from a registered template by filling content slots, then get an automated QA report.
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  • Exports a map view from an ArcGIS Pro project directly to a PNG image without a layout, enabling quick map snapshots and automated image generation.
    Apache 2.0
  • Generate a system-wide manifest snapshot to aggregate all project artifacts, track API evolution, and create a comprehensive view of your codebase for documentation and architecture review.
    MIT
  • Create a plain-text note document in a GameMaker project and register it for project documentation.
    MIT
  • Initiates generation on an existing project. Returns immediately; generation takes ~5 minutes. Use get_status to check progress.
    MIT
  • Create a structured EU AI Act inventory document for a project, listing all detected AI systems with risk classifications and compliance documentation requirements.
    MIT