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WikiMoth MCP Server

WikiMoth MCP Server

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables semantic search and note management for Obsidian vaults via the Model Context Protocol, allowing LLMs to search, read, and index notes, PDFs, and web pages locally.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP clients such as Claude Desktop, Cursor, Zed, and Windsurf to recall associative context from a folder of markdown notes, combining vector search entry points with one-hop [[wikilink]] graph expansion and cross-encoder reranking over a single SQLite file. It also appends a zero-token per-turn ledger of asks, files, tools, and decisions that agents can consult across sessions.
      154 PyPI
      13
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    • A
      license
      A
      quality
      B
      maintenance
      Exposes local markdown documentation, notes, and knowledge bases to AI tools via the Model Context Protocol without embeddings or uploading.
      4
      22 PyPI
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search, read, create, and maintain a local-first knowledge base using hybrid retrieval and Markdown note management through the Model Context Protocol.
      11 npm
      1
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    • A
      license
      A
      quality
      B
      maintenance
      Exposes a typed, provenance-aware knowledge graph over an Obsidian vault to coding agents over MCP, so they can trace what grounds a claim, compute which other notes a change makes wrong, surface contradictions and admitted gaps, and assemble a task-specific token-budgeted subset of the vault. Indexing, retrieval, and impact analysis run with zero third-party runtime dependencies beyond the Python standard library.
      10
      MIT
    • A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables semantic search and content retrieval from local Obsidian vaults through the Model Context Protocol. It allows AI assistants to query notes by meaning, filter by tags, and access full note content for enhanced knowledge integration.
      MIT

    TDQS

    A4.2/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: recall retrieves note-chains; status reports vault metadata; list_duplicates, list_conflicts, list_lint, and list_fading each surface a different kind of maintenance issue; supersede performs the single write action. No two tools could be reasonably confused.

    Naming Consistency4/5

    The naming is predominantly snake_case with a consistent list_ prefix for the four inspection tools, and recall/supersede are clear action verbs. The one deviation is 'status', which is a noun rather than a verb_phrase, though it is still intuitive.

    Tool Count5/5

    Seven tools is well-scoped for the server's purpose of maintaining and recalling from a WikiMoth vault. Each tool addresses a distinct need without redundancy, and the count feels neither thin nor bloated.

    Completeness4/5

    The set covers the key lifecycle: detect issues (duplicates, conflicts, lint, fading), adjudicate via recall/status, and resolve via supersede. Minor gaps exist such as no direct 'get_note' or vault-wide listing tool, but recall likely covers most retrieval needs and the core maintenance loop is complete.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive