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WeChat Local Agent MCP

by hetiankong
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Python
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    TDQS

    B3.1/5.0

    Scored across 19 tools

    Disambiguation4/5

    Most tools have clear, distinct purposes, especially the specialized enrichment tools (OCR, file extraction, voice transcription). The four message-reading tools (timeline, read_chat_range, read_chat_day, read_multiple_chats_day) are similar but their range semantics and usage patterns differ enough that descriptions should guide correct selection.

    Naming Consistency3/5

    The majority of tools use a verb_noun pattern (read_chat_range, count_messages, resolve_chat), but a few single-word noun-style names (timeline, unread, context, status, sessions, search) and noun_noun names (message_details, message_media) break the pattern. The inconsistency is noticeable but not chaotic.

    Tool Count3/5

    At 19 tools, the surface is on the heavier side but still scoped to a single domain (local WeChat data access). Each tool addresses a concrete feature, though some could potentially be merged (e.g., the reading paging tools), making the count borderline.

    Completeness4/5

    The tool set covers a comprehensive range of read-only operations: browsing, searching, counting, unread sessions, incremental events, context expansion, message details, and multiple enrichment capabilities (media, OCR, file text, links, voice). It lacks sending or UI control, which appears intentionally out of scope, leaving no major functional gaps for a local agent.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources