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taylorleese

MCP Tools

by taylorleese
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Hybrid

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    Related Servers

    • 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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    • 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
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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

      dorisjain
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding assistants to maintain persistent context across sessions by saving, searching, organizing, checkpointing, and restoring conversations, decisions, file content, and progress.
      250 npm
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    • MCP Memory Keeper

      renatejohnson
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables persistent context management for AI coding assistants by saving, searching, organizing, and restoring session history, decisions, and progress across compactions and sessions.
      250 npm
      MIT
    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    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

    ActivityInactive
    ResponsivenessNo issues

    Resources