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logseq-mcp

by joseguzmann
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    • Logseq MCP Server

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      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.
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    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    B3.2/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool maps to a distinct resource or input type: graph metadata, journal, page, block-by-id, task-by-text, search, image. The main overlap is get_block/get_task (both fetch blocks with subtrees) and get_task/search (both locate by text), but the id-vs-exact-text-vs-substring distinction and the descriptions make boundaries workable.

    Naming Consistency4/5

    Strong snake_case convention with get_/list_ verb prefixes (get_journal, get_block, get_task, get_page, get_image, list_tasks). Minor deviations: graph_info is noun-only and search has no verb/noun pairing, but they remain readable and predictable.

    Tool Count5/5

    Eight tools is a well-scoped set for browsing a Logseq graph, with each tool earning its place. No redundant or filler tools.

    Completeness3/5

    Read coverage is solid (graph info, journals, pages, blocks, tasks, search, images), but the surface appears read-only with no create/update/delete for blocks, tasks, or pages, and no list_pages/list_journals enumeration. Agents can browse but cannot modify or fully enumerate the graph.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources