prompyai

prompyai-mcp

Context-aware prompt intelligence MCP server for Claude CLI. Scores your prompts against your real codebase and rewrites them with AI.

Install

claude mcp add prompyai -- npx prompyai-mcp serve

No sign-up. No config. Works immediately. Requires Node.js 20+.

What It Does

Every time you write a prompt in Claude CLI, PrompyAI automatically:

1. Scores it (0–100) across Specificity, Context Completeness, Task Clarity, and File & Folder Anchoring
2. Suggests improvements tailored to your project
3. Rewrites the prompt with real file paths, verified symbols, and codebase context

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

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/."

AI Enhancement — Works for Everyone

PrompyAI uses a two-layer architecture:

• API key users (ANTHROPIC_API_KEY set) → PrompyAI calls Claude Haiku directly for fast AI rewrites
• Subscription users (no API key) → PrompyAI returns rich codebase context to Claude, which generates the enhanced prompt using your existing session

All users get AI-enhanced output. No separate API key required.

How It Knows Your Codebase

PrompyAI indexes your project locally:

• File tree — structure, key folders, recently modified files
• Tech stack — language, framework, ORM, test runner detection
• Code symbols — functions, classes, interfaces extracted via the TypeScript Compiler API
• Git state — branch, dirty files, recent changes
• Session history — reads Claude Code conversation transcripts for multi-turn context

All indexing happens locally. Nothing is sent externally (except optional anonymous telemetry).

MCP Tools

evaluate_prompt

Auto-called on every user message. Scores your prompt against your project.

Parameter	Required	Description
prompt	yes	The prompt text to evaluate
workspace_path	yes	Absolute path to your project
active_file	no	Currently open file path
session_id	no	Claude Code session ID for multi-turn context

get_context

Returns your project summary: tech stack, recent files, key folders.

Parameter	Required	Description
workspace_path	yes	Absolute path to your project

prompyai_toggle

Turn auto-evaluation on or off. Say "pause prompyai" or "enable prompyai" in Claude CLI.

Desktop Config

Alternatively, add to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "prompyai": {
      "command": "npx",
      "args": ["prompyai-mcp", "serve"]
    }
  }
}

Environment Variables

Variable	Required	Description
ANTHROPIC_API_KEY	No	Enables direct AI suggestions via Claude Haiku (optional)
PROMPYAI_TELEMETRY	No	Set to false to opt out of anonymous telemetry

CLI Commands

prompyai serve              # Start the MCP server (default)
prompyai doctor             # Run environment diagnostics
  --workspace <path>        # Workspace to check (default: cwd)

Programmatic API

import { WorkspaceIndexer, ScoringEngine } from 'prompyai-mcp';

const indexer = new WorkspaceIndexer();
const scorer = new ScoringEngine();

const fingerprint = await indexer.getFingerprint('/path/to/project');
const result = await scorer.evaluate('fix the auth', fingerprint);

console.log(result.display); // Pre-formatted score output
console.log(result.total);   // 0-100
console.log(result.grade);   // A-F

Links

• Website: prompyai.com
• GitHub: github.com/samouh-waleed/PrompyAI
• MCP Registry: io.github.samouh-waleed/prompyai

License

MIT