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agent-memory-mcp

by kira-autonoma
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: memory_feedback for rating usefulness, memory_recall for retrieving memories, memory_stats for analytics, and memory_store for creating new memories. There is no overlap or ambiguity in their functions.

    Naming Consistency5/5

    All tool names follow a consistent 'memory_' prefix with a descriptive suffix (feedback, recall, stats, store), using snake_case uniformly. This pattern is predictable and enhances readability.

    Tool Count5/5

    With 4 tools, the server is well-scoped for managing agent memory, covering core operations like storing, recalling, providing feedback, and viewing statistics. Each tool earns its place without being excessive or insufficient.

    Completeness5/5

    The tool set provides complete CRUD-like coverage for the memory domain: store (create), recall (read), feedback (update/rate), and stats (monitor). There are no obvious gaps, supporting a full lifecycle from storage to decay management.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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