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Alternatives to graphview

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes a local SQLite-based memory and knowledge base as standard MCP tools, enabling AI clients to search content, recall memory fragments, and query entity relationships through natural language.
      1
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables read-only querying of an Obsidian knowledge base through MCP tools and resources, including full-text search, node and link retrieval, related-note traversal, and pathfinding between concepts.
      1
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to read, navigate, and query long-term memory stored as readable, reviewable source files, exposing paged catalogs, indexed searches that explain their misses, bounded relation traces, link diagnostics, raw file access, and preflight checks of drafts against MUST constraints. It serves this read-only by default over stdio so any MCP client can start from a memory catalog and keep reading toward the answer instead of relying on a single similarity guess.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables LLM assistants and agents to query and manage a personal markdown vault as a graph-based knowledge base using hybrid retrieval, with tools for searching, editing, tagging, and recalling memories across MCP-compatible clients.
      21 PyPI
      4
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides persistent, graph-based memory for AI agents via MCP, enabling semantic search, wikilink traversal, reminders, and injection protection.
      9
      33
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables storing and querying a personal knowledge graph as a shared memory, allowing agents and tools to remember facts, entities, relations, and recall relevant context via natural language hybrid search.
      1
      MIT

    TDQS

    A3.8/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: opening the viewer, fetching subgraphs, getting single nodes, exploring neighbors, searching, statistics, pathfinding, provenance tracking, worklist analysis, type listing, and reloading. No overlap or ambiguity between tools.

    Naming Consistency3/5

    Names are all lowercase and readable, but they mix verb-noun patterns (get_graph, list_types) with standalone nouns (neighbors, path, provenance, worklist). This inconsistency could cause an agent to hesitate on the expected action, though descriptions mitigate confusion.

    Tool Count5/5

    11 tools is well-scoped for a graph viewer. Each tool covers a distinct aspect of graph exploration and maintenance without redundancy, and the count is neither sparse nor overwhelming.

    Completeness5/5

    The tool surface comprehensively covers the domain of graph viewing: browsing, searching, navigation, statistics, relationship tracing, provenance, and integrity checking. There are no obvious dead ends, and the missing CRUD operations are irrelevant since this is a read-only viewer.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues