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IrisNyx

coweread

by IrisNyx
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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    • co-reading

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    • weread-mcp

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools map cleanly to distinct resources and actions, and descriptions explicitly separate user progress from AI progress and quote-based reviews from chapter-level reviews. Minor ambiguity remains because 'bookmark' is used for both highlights and reading progress, and reading_context overlaps somewhat with get_chapter_text.

    Naming Consistency4/5

    The majority of tools follow a consistent verb_noun pattern like get_*, add_*, list_*, update_*, and remove_*. A few noun-phrase names such as my_reviews, best_bookmarks, and reading_context deviate, and 'bookmark' means two different things across tools.

    Tool Count4/5

    At 16 tools, the server is slightly over the ideal 3-15 range, but each tool appears to serve a distinct purpose in the reading, review, highlight, and comment workflows. No tools feel redundant, so the count is reasonable for the scope.

    Completeness3/5

    The core workflows for reading, writing thoughts, commenting, highlighting, and tracking progress are covered. However, there are notable gaps: no update/delete for reviews or comments, no listing of the user's own highlights, and no book-level metadata tool beyond the shelf list.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources