PrompyAI provides context-aware prompt intelligence for Claude CLI, scoring prompts against the user's codebase and rewriting them with AI.
From the registry: Scores your prompts against your real codebase — context-aware prompt intelligence

Please install the `prompyai` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Node.js 20+** — Node.js runtime required
Optional prerequisites:
- Claude CLI — Claude Code CLI for adding MCP servers
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["prompyai-mcp","serve"]
- optional environment variables:
- `ANTHROPIC_API_KEY`: Enables direct AI suggestions via Claude Haiku (optional - works without it) (example: `<your-anthropic-key>`)
- `PROMPYAI_TELEMETRY`: Set to false to opt out of anonymous telemetry (example: `false`)
Note: Context-aware prompt scoring and improvement for Claude CLI. Scores prompts against your codebase. Works without API key using Claude-as-AI-layer pattern.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.ANTHROPIC_API_KEYEnables direct AI suggestions via Claude Haiku.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.