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wechat-mcp

wechat-mcp

by lfc1402046
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

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    • readgzh

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      A
      license
      Not graded
      quality
      B
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      Enables AI to read full-text WeChat Official Account articles, returning title, author, publish time, and clean Markdown content.
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    • wxmon

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      Enables AI assistants to list, search, and retrieve locally collected WeChat Official Account articles, including full Markdown bodies when available, through MCP tools.
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    • wechat-article-reader

      lhs1695
      A
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      maintenance
      Enables fetching WeChat public account articles, caching them in SQLite, and reading them as paginated Markdown via MCP, with optional DeepSeek summarization and HTML/Markdown export.
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    • wxread MCP Server

      Rudy-114
      A
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      quality
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      Enables AI agents to read WeChat Official Account articles by fetching mp.weixin.qq.com links from the user's own machine and network and converting them into clean Markdown with title, account, author, and publish-time metadata. Provides both single-article and batch-reading tools (up to 20 URLs) with optional image handling, character limits, and JSON output.
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    • weixin-articles-mcp

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      A
      license
      A
      quality
      D
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      Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).
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    Deploy Server
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    TDQS

    A4.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    The tools are clearly differentiated based on the input scale: one handles a single item, and the other handles a list of items. There is no ambiguity for an agent deciding which function to call based on the user's request format.

    Naming Consistency5/5

    The naming convention is highly consistent, using the verb 'read' as the core action for both tools. The snake_case format and structural similarity make the set very easy to read and predict.

    Tool Count4/5

    With only two tools, the set is appropriately scoped for its singular focus on article consumption. While minimal, having separate tools for single versus batch operations is a sensible division for this specific domain.

    Completeness4/5

    The tools cover the core 'read' lifecycle for individual and group articles. However, the surface lacks upstream functionality like searching by keyword or listing all available articles, which would make the set more robust.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources