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ergut

MCP server for LogSeq

by ergut

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      Enables AI assistants to interact with your local Logseq knowledge base through advanced search, content creation, template management, and knowledge organization with privacy-first, local-only operations.
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    • A
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      Connects MCP-compatible AI assistants to Logseq graphs, enabling block-first operations, block references, and context graph building.
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      Enables AI assistants like Claude to directly read, write, search, and navigate your local Logseq knowledge graph, including managing journals, pages, backlinks, and page relationships without manual copy-pasting.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Connects AI assistants to Logseq knowledge graphs to read, write, and search pages, blocks, and journals via the Model Context Protocol. It features 17 tools for full graph management, including CRUD operations, batch block insertion, and full-text search.
      7 npm
      Apache 2.0

    TDQS

    A3.5/5.0

    Scored across 17 tools

    Disambiguation4/5

    Each tool targets a clear resource (page vs block) and action, but search/query/find_pages_by_property and the two namespace getters have overlapping purposes that could cause an agent to pick the wrong one.

    Naming Consistency4/5

    Most tools follow verb_noun (list_pages, create_page, get_block, delete_block), but 'search' and 'query' break the pattern as bare verbs, and set_block_properties could be seen as an update_block variant.

    Tool Count4/5

    17 tools is slightly above the ideal 3-15 range, but the set covers pages, blocks, search, queries, namespaces, backlinks, and properties without obvious redundancy.

    Completeness4/5

    The surface provides full page and block CRUD plus search/query, namespaces, backlinks, and properties. Missing standalone root block creation and journal-specific tools, but core workflows are covered.

    Maintenance

    ActivityMaintained
    ResponsivenessSlow