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by anshulyadav1976
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    • enscribe

      Zalitygit
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables any MCP-capable AI client to search and write a local-first personal memory store backed by one SQLite file, fusing FTS5 keyword and locally computed vector search over records and git-tracked markdown knowledge pages. An optional authenticated HTTP mode shares the same memory across agents and devices without any cloud dependency.
      MIT

    • mnema

      Ray0907
      A
      license
      Not graded
      quality
      D
      maintenance
      Provides a file-first personal memory layer for AI agents, enabling them to store and retrieve memories as markdown files with an SQLite index. The MCP server offers read-only search by default, with optional write tools for manual memory addition and conflict resolution.
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    • kmd

      bartolli
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for structured markdown knowledge vaults that provides validation, FTS5 search, and wikilink cross-references. Enables AI agents to prime context and search across vaults using two MCP tools and template resources.
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    • Zero Brain MCP Server

      miru-zero
      A
      license
      A
      quality
      C
      maintenance
      MCP server for managing a local, domain-agnostic knowledge base using Markdown notes with frontmatter. Enables AI agents to capture, read, search, link, and maintain notes with atomic writes and privacy controls.
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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

    A4.6/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct artifact and operation: search for content discovery, list_pages for catalog browsing, neighbors for link graph, read_page/read_note/read_source for typed reading, and propose_note for writing. Descriptions explicitly cross-reference when to use alternatives, leaving no real ambiguity.

    Naming Consistency4/5

    Five of seven tools follow a clear verb_noun pattern (read_page, read_note, list_pages, read_source, propose_note). The bare verb 'search' and noun 'neighbors' deviate from the pattern, though both remain readable and intuitive.

    Tool Count5/5

    Seven tools is well-scoped for a knowledge-base MCP with retrieval, navigation, and note proposal. Each tool earns its place without redundancy.

    Completeness4/5

    Core retrieval and note-proposal workflows are covered, including typed reads for pages, notes, and sources, plus search and graph navigation. However, the write path is limited to proposing/appending notes; there is no tool to list all notes/sources, delete notes, or directly edit/delete wiki pages, leaving some lifecycle gaps.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

    Resources