MCP ServerSTDIOOfficialv0.1.1

Samouh Waleed Prompyai MCP Server

Score and refine prompts against your actual codebase to catch context mismatches before they reach production. Designed for developers who want AI-powered feedback on prompt quality without leaving their workflow.

io.github.samouh-waleed/prompyai

Hosted URL

Local install

Transport

STDIO

Auth

No auth required

What the Samouh Waleed Prompyai MCP server does

How models use it and what it is built for.

Score and refine prompts against your actual codebase to catch context mismatches before they reach production. Designed for developers who want AI-powered feedback on prompt quality without leaving their workflow.

Connect to Samouh Waleed Prompyai

Local install — runs as a subprocess.

npx prompyai-mcp@0.1.1

Environment variables

Configuration this server reads at startup.

  • ANTHROPIC_API_KEYSecret

    Anthropic API key for AI-powered suggestions (optional — free heuristic scoring works without it)

Resources

Where to find authoritative docs and source for Samouh Waleed Prompyai.

Example prompts for Samouh Waleed Prompyai

Paste any of these into Agent Studio after connecting Samouh Waleed Prompyai.

  • Score this prompt against my codebase for accuracy and context coverage
  • What context am I missing in this prompt for my API schema
  • Compare two prompts and tell me which aligns better with my code
  • Show me heuristic scoring for this prompt without using the API

Samouh Waleed Prompyai MCP server — FAQ

Common questions about connecting and running Samouh Waleed Prompyai.

  • Do I need an Anthropic API key to use prompyai?

    No. The server provides free heuristic-based prompt scoring out of the box. Adding ANTHROPIC_API_KEY enables AI-powered suggestions for deeper analysis, but it's optional.

  • How does prompyai analyze prompts against my codebase?

    It scans your actual code to understand context, schema, and patterns, then scores incoming prompts for relevance and completeness. This catches misalignments early.

  • What does 'context-aware prompt intelligence' mean in practice?

    The server checks whether your prompts reference the right functions, types, and APIs that exist in your codebase, flagging gaps or outdated references before you use them.

  • Can I use prompyai in CI/CD or pre-commit hooks?

    Yes—it runs via stdio transport, so you can integrate it into scripts and automation pipelines to validate prompts as part of your development workflow.

  • What's the difference between heuristic and AI-powered scoring?

    Heuristic scoring uses pattern matching and syntax rules (always free). AI-powered scoring (with ANTHROPIC_API_KEY) adds semantic understanding for nuanced feedback on prompt clarity and intent.

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