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Alternatives to ontology-atlas

No user-submitted related servers found.

    Related Servers

    • F
      license
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      quality
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      Turns local code repositories into a queryable dependency graph built from AST parsing and git co-edit history, then exposes it alongside an Obsidian vault as persistent memory. Enables context retrieval, impact analysis of proposed changes, and curation of durable prose knowledge through full-text search and Personalized PageRank classification—all fully offline without API keys or embeddings.
      30
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    • A
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      C
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      Enables AI assistants to build and maintain a shared, git-backed Markdown wiki: they search, file, update and link notes with YAML frontmatter, keep verbatim sources, and optionally read code repos, so knowledge one assistant records is available to all the others. Runs without LLM calls, embeddings or a database, with the vault's own files defining page types, instructions and tools.
      MIT
    • A
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      Local-first engineering memory and code-graph tools for coding agents. Supports private session handoffs, code-cited knowledge, repository graph inspection, and optional Git-backed team sharing.
      25
      20 npm
      29
      AGPL 3.0
    • A
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      Enables AI coding agents to query a local code graph over stdio, so they can see what a Git change may affect, find related tests, routes and nodes, and cite evidence paths — read-only and fully on-machine.
      1 npm
      MIT
    • F
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      Enables AI clients to read and write a self-hosted, git-backed graph of team memory nodes — searching, creating, updating, linking, and tracing the history of notes about what exists, its state, and what was done — over MCP (stdio or HTTP) or a plain REST API. Combines lexical and semantic search in an embedded index, so it works model-agnostically and even fully offline.
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    TDQS

    A3.8/5.0

    Scored across 40 tools

    Disambiguation2/5

    Multiple graph-query tools have unclear boundaries: query_ontology contains neighbors/path/impact/subgraph operations that overlap directly with find_neighbors, find_path, find_backlinks, and compile_ontology. The analysis tools also overlap heavily (analyze_repo_structure, infer_imports, index_project, inspect_architecture), so an agent must read long descriptions to choose correctly.

    Naming Consistency4/5

    Most names follow a readable snake_case verb_noun pattern (list_concepts, add_relation, validate_vault, get_constellation). There are some noun-first exceptions such as connection_info, git_status, git_history, and git_snapshot, plus singular/plural batch pairs, but the convention remains largely predictable.

    Tool Count2/5

    Forty tools is excessive for a single MCP server, exceeding the 25+ threshold where the surface becomes heavy and hard to navigate. The count is inflated by separate read/write/query/analysis tools plus batch variants, many of which could be consolidated or exposed as operations of fewer tools.

    Completeness4/5

    The ontology concept and relation lifecycle is well covered: create, batch create, read, batch read, patch, rename, reclassify, merge, delete, add/remove/replace relations, validation, compilation, repo analysis, and git checkpoints. Minor gaps remain around constellation lifecycle (list/get only, no save/update/delete) and wiki authoring (read/validate only).

    Maintenance

    ActivityNo data
    ResponsivenessSlow