Skip to main content
Glama

Related Servers

Alternatives to SIMPA

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      D
      maintenance
      An MCP server that automatically enhances user prompts by applying advanced engineering techniques like chain-of-thought and few-shot reasoning based on identified intent. It optimizes technique selection through local learning and integrates directly into Claude sessions to improve output quality without additional API costs.
      6
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Engram MCP provides persistent, cross-session memory for AI agents by automatically encoding errors, decisions, and discoveries during development sessions. It enables local, intelligent recall and automated context management to help AI learn from experience and avoid recurring mistakes.
      6 npm
      Business Source 1.1
    • A
      license
      D
      quality
      C
      maintenance
      SuperMemory is an MCP-first learning memory layer for agents. It helps Claude, Cursor, and other MCP clients reuse validated lessons from prior failures, corrections, and outcomes without saving full transcripts.
      29
      32 PyPI
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      MCP server for persistent, compounding memory that automatically captures corrections and insights across AI sessions, enabling agents to learn and improve over time.
      5
      371
      MIT

    TDQS

    A4.1/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a distinct purpose: refine_prompt handles prompt optimization, update_prompt_results tracks metrics, health_check monitors service status, create/get/list_projects manage project metadata, and activate/deactivate_prompt control prompt lifecycle. No two tools overlap in function.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (refine_prompt, create_project, list_projects, activate_prompt, etc.). The exception is health_check, which is a noun phrase rather than a verb_noun, making it slightly inconsistent but still readable.

    Tool Count5/5

    With 8 tools, the server is well-scoped for a prompt management system. Each tool covers a necessary function—project management, prompt refinement, result tracking, and lifecycle control—without redundancy or bloat.

    Completeness4/5

    The core workflows are covered: project creation and lookup, prompt refinement and deactivation, result feedback, and health checks. Missing project update/delete operations and a dedicated get_prompt tool are minor gaps that agents can work around, but the surface is largely complete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues