Skip to main content
Glama
nuno-morais

Prompt Enhancer MCP

by nuno-morais
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to Prompt Enhancer MCP

No user-submitted related servers found.

    Related Servers

    • Headroom Mini

      lea-blum
      F
      license
      B
      quality
      D
      maintenance
      Local MCP server for token optimization, providing tools to compress code/JSON, optimize prompts, and manage placeholder-based content redaction and hydration to reduce LLM token usage.
      5
      -

    • mcp-local-llama

      chrishorne74
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that delegates mechanical tasks like summarization, classification, extraction, and drafting to a local Llama.cpp LLM, serving as a cost-optimization layer while Claude handles reasoning and quality control.
      MIT

    • Refine Prompt

      FelippeFarias
      A
      license
      A
      quality
      D
      maintenance
      An MCP server that uses Claude 3.5 Sonnet to transform ordinary prompts into structured, professionally engineered instructions for any LLM. It enhances AI interactions by adding context, requirements, and structural clarity to raw user inputs.
      1
      3
      MIT

    • ollama-mcp

      DTG404
      A
      license
      Not graded
      quality
      D
      maintenance
      A VRAM-aware MCP server that offloads token-heavy development tasks to local Ollama models, saving API tokens for complex reasoning.
      1,194 npm
      MIT
    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

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: health check, system prompt generation, linting, optimization, and scoring. No overlapping functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case, making them predictable and easy to distinguish.

    Tool Count5/5

    With 5 tools, the server covers the essential prompt enhancement workflows without being too sparse or bloated.

    Completeness4/5

    The tool set covers health checks, generation, linting, optimization, and scoring. Minor gaps exist, such as no dedicated template management tool, but core operations are well-covered.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources