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Alternatives to mcp-han

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to check Chinese commercial content for advertising-law prohibited terms, AI-generated-content labeling requirements, and 17-item organizational compliance self-assessment, returning each hit with its location, cited legal basis, and revision suggestion. Runs fully offline with a deterministic rule engine and zero external dependencies.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      A local MCP server that brings Chinese NLP capabilities to AI agents and IDEs. It provides four tools: Chinese word segmentation (jieba), pinyin conversion (pypinyin), TF-IDF keyword extraction, and custom sensitive-word detection (Aho-Corasick). All processing runs locally over stdio, with zero network requests and no built-in sensitive-word dictionary — users supply their own word lists. Install
      297 PyPI
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that copyedits AI-written text by sending it to a configurable polishing model, applying per-language rules, and returning revised text for human confirmation.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables creators to generate short-video voiceover scripts with platform-adapted hooks, key points, and closings, search a golden-quote library, split copy into subtitle lines with estimated timelines, get topic suggestions, and turn a topic into TTS audio plus SRT subtitles in one command. Runs fully locally and offline as part of a Chinese content-creation MCP suite.
      MIT

    TDQS

    A4.3/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct operation: checking reports issues, fixing applies corrections, counting provides statistics, and listing rules exposes metadata. There is no meaningful overlap between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern: check_text, fix_text, count_text, list_rules. The pattern is uniform and predictable.

    Tool Count5/5

    Four tools is well-scoped for a text proofreading utility. Each tool fills a clear role with no redundancy or bloat.

    Completeness5/5

    The set covers the full workflow of text proofreading: inspect, fix, quantify, and learn about available rules. There are no obvious dead ends or missing core operations for this domain.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues