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Related Servers

Alternatives to MCP Tools

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Provides persistent cross-session memory and full-text search for AI coding assistants, storing project context, decisions, and preferences while enabling searchable access to conversation history via local SQLite.
      8
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides persistent context management for Claude AI coding assistants, allowing you to save and restore conversation context, create checkpoints, and organize information across sessions to prevent losing important work history and decisions during long coding sessions.
      208 npm
      134
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides a local long-term memory layer for AI coding tools like Cursor and Claude Code, enabling cross-session, cross-tool sharing of project facts, user preferences, decisions, and workflows.
      12 npm
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides persistent, searchable memory across AI coding agent and chat history (Claude Code, Codex, Gemini CLI, ChatGPT, and more) via retrieval-augmented generation, enabling semantic and hybrid search to retain context across sessions.
      5
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables saving bookmarks, notes, and files from inside Claude Code or Codex and later finding them from any project or session just by describing what you remember. All storage, indexing, and natural-language search run locally via SQLite and a bundled embedding model, with no accounts, cloud, or API keys.
      281 npm
      MIT

    TDQS

    B3.3/5.0

    Scored across 3 tools

    Disambiguation2/5

    All three tools have nearly identical descriptions, only differing by the AI model name. An agent would struggle to choose between them without additional context on model preferences.

    Naming Consistency5/5

    All tools follow a consistent 'ask_{model}' pattern, making naming predictable and clear.

    Tool Count4/5

    Three tools is reasonable for a server that simply provides access to multiple AI models. It is slightly minimal but not out of place.

    Completeness3/5

    The tool set covers the core function of querying different AI models, but lacks features like conversation history, context management, or parameter customization, which are notable gaps.

    Maintenance

    ActivitySlowing
    ResponsivenessUnresponsive