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davidteren

Claude Server MCP

by davidteren
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    • MCP Memory Keeper

      ViktorCosta6156
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables persistent context management for Claude AI coding assistants by saving, searching, checkpointing, restoring, and sharing project context across sessions and parallel conversations.
      250 npm
      MIT

    • MCP Memory Keeper

      mkreyman
      A
      license
      Not graded
      quality
      B
      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.
      250 npm
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    • MCP Memory Keeper

      komarov46
      A
      license
      Not graded
      quality
      A
      maintenance
      Provides persistent context management for Claude AI coding assistants, enabling users to save, search, checkpoint, restore, and share project context across sessions and parallel sessions. It preserves work history, decisions, and progress so coding workflows survive compaction and context limits.
      250 npm
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    • MCP Memory Keeper

      leodabrowski
      A
      license
      Not graded
      quality
      A
      maintenance
      Provides persistent context management for Claude AI coding assistants, enabling users to save, search, checkpoint, and restore work history, decisions, and progress across sessions.
      250 npm
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    • Memory Keeper

      aPeterson83
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables persistent context management for Claude coding assistants, letting them save, search, checkpoint, and restore project context across sessions. Supports channels, git integration, and batch operations so work history and decisions survive context compaction.
      250 npm
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.3/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: get_context retrieves a specific context, list_contexts lists contexts with filters, save_conversation_context saves conversation-specific context, and save_project_context saves project-specific context. The descriptions clearly differentiate between retrieval, listing, and two types of saving operations.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (get_context, list_contexts, save_conversation_context, save_project_context) with clear, descriptive names. The naming convention is uniform throughout the set, making it easy to understand each tool's function at a glance.

    Tool Count4/5

    With 4 tools, the count is reasonable for a context management server, covering key operations like retrieval, listing, and saving. It feels slightly minimal but well-scoped, as each tool serves a distinct and necessary function without redundancy.

    Completeness4/5

    The tool set provides good coverage for context management with get, list, and save operations for both conversation and project contexts. A minor gap exists in update or delete functionality for contexts, but agents can likely work around this by re-saving or managing contexts through the provided tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources