Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-samouh-waleed-prompyai": {
"args": [
"-y",
"prompyai-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Context-aware prompt intelligence for Claude CLI. Scores your prompts against your real codebase — file paths, symbols, session history — and rewrites them with AI.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'prompyai-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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Context-aware prompt intelligence for Claude CLI.
Scores your prompts against your real codebase — file paths, symbols, session history — and rewrites them with AI.
When you write a prompt in Claude CLI, PrompyAI automatically evaluates it against your actual project and returns:
Prompt Score: 43/100 [D]
Specificity 3/25 ==..............
Context Completeness 13/25 ========........
Task Clarity 15/25 =========.......
File & Folder Anchoring 10/25 ======..........
Key improvements:
1. Expand your prompt with more context
2. Add file paths using @mentions
3. Specify what format you expect the output in
4. Add acceptance criteria
Try something more like:
"Build the VS Code extension in packages/vscode-extension/ that integrates
with the PrompyAI MCP server at packages/mcp-server/. It should provide
real-time prompt scoring in the editor sidebar, show score breakdowns
(specificity, context, clarity, anchoring), and offer a 'rewrite prompt'
action. Use the shared types from packages/shared/."
claude mcp add prompyai -- npx prompyai-mcp serve
That's it. No sign-up, no config files. Works immediately.
Requires Node.js 20+ and Claude CLI.
PrompyAI uses a two-layer architecture so all users get AI-enhanced output:
| User type | How it works |
|---|---|
API key users (ANTHROPIC_API_KEY set) | PrompyAI calls Claude Haiku directly for fast, dedicated AI rewrites |
| Subscription users (no API key) | PrompyAI returns codebase context to Claude, and Claude itself generates the enhanced prompt using your existing session |
Either way, the enhanced prompt is grounded in your real project — actual file paths, verified function names, and project architecture.
Each dimension scores 0–25, total 0–100.
| Dimension | What it measures |
|---|---|
| Specificity | Concrete actions vs vague verbs, output format, quantitative constraints |
| Context Completeness | File references, error messages, expected vs actual behavior |
| Task Clarity | Single focused task, success criteria, unambiguous language |
| File & Folder Anchoring | @mentions, project entity references, verified symbol names |
Grades: A (90+) · B (70+) · C (50+) · D (30+) · F (<30)
evaluate_promptAutomatically called on every user message. Scores your prompt against your project.
| P