Skip to main content
Glama
j0hanz

PromptTuner MCP

by j0hanz
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Related Servers

Alternatives to PromptTuner MCP

No user-submitted related servers found.

    Related Servers

    • MCP Prompt Optimizer

      grandinh
      A
      license
      B
      quality
      D
      maintenance
      Automatically analyzes and optimizes AI prompts by calculating clarity scores, detecting risks, asking clarifying questions, and adding domain-specific requirements to improve AI interaction quality.
      1
      MIT

    • Promptheus

      abhichandra21
      A
      license
      Not graded
      quality
      C
      maintenance
      Refines and optimizes prompts for LLMs through adaptive questioning and intelligent clarification workflows. Supports multiple AI providers (Google, OpenAI, Anthropic, Groq, Qwen) with interactive prompt enhancement and targeted modifications.
      17
      MIT

    • AI Validation MCP Server

      jadenmaciel
      A
      license
      Not graded
      quality
      D
      maintenance
      Automatically enhances user prompts by applying expert-level prompt engineering techniques tailored to technical, creative, or analytical content types. It provides visual feedback on applied optimizations to ensure higher quality, structured, and more comprehensive AI responses.
      1
      MIT

    • Prompt Ops MCP

      heyjustinai
      A
      license
      A
      quality
      D
      maintenance
      Optimizes prompts using meta-prompting techniques through a two-turn approach that first provides optimization guidelines and then refines the prompt for enhanced quality and effectiveness.
      1
      3 npm
      4
      MIT

    • PromptArchitect MCP

      MerabyLabs
      F
      license
      A
      quality
      C
      maintenance
      Refines and improves AI prompts using workspace-aware context from your project's tech stack, structure, and dependencies. Includes tools to analyze prompt quality and generate well-structured prompts from raw ideas.
      4
      209 npm
      5
      -
    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

    B3.2/5.0

    Scored across 3 tools

    Disambiguation3/5

    The three tools have overlapping purposes in prompt improvement, with 'boost_prompt' and 'fix_prompt' both focusing on clarity and effectiveness, which could cause confusion. However, 'crafting_prompt' is more distinct as it generates structured workflows, providing some differentiation.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with clear, descriptive verbs ('boost', 'crafting', 'fix') and the same noun ('prompt'), making them predictable and easy to understand.

    Tool Count2/5

    With only 3 tools, the server feels thin for a domain like prompt tuning, which might involve more operations such as evaluating prompts, testing variations, or managing prompt libraries. This limited set could restrict agent capabilities.

    Completeness2/5

    The toolset is incomplete for prompt tuning, missing essential operations like evaluating prompt effectiveness, comparing different versions, or storing/retrieving prompts. This creates gaps that could lead to agent failures in comprehensive prompt management tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources