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# @merabylabs/promptarchitect-mcp [![npm version](https://img.shields.io/npm/v/@merabylabs/promptarchitect-mcp.svg)](https://www.npmjs.com/package/@merabylabs/promptarchitect-mcp) [![MCP Compatible](https://img.shields.io/badge/MCP-Compatible-blue)](https://modelcontextprotocol.io) A Model Context Protocol (MCP) server that refines your prompts using PromptArchitect's AI-powered prompt engineering. Simply pass your current prompt and get an improved version back. **Works with:** Claude Desktop • VS Code (Copilot) • Cursor • Windsurf • Zed • JetBrains IDEs • Continue.dev • Cline ## ✨ Why PromptArchitect MCP? ### 🎯 Workspace-Aware Refinement Unlike generic prompt tools, PromptArchitect understands **your project context**. When refining prompts, it considers: - **Your tech stack** — React, Node, Python, or whatever you're building with - **Project structure** — File organization, naming conventions, architecture patterns - **Dependencies** — Libraries and frameworks from your package.json/requirements.txt - **Your original request** — Ensures refined prompts stay aligned with your actual goal This means prompts are tailored to **your specific codebase**, not generic boilerplate. ### 🚀 Key Benefits - **No API key required** — Free to use, powered by PromptArchitect backend - **Works in your IDE** — Integrates with your existing workflow via MCP - **Context-aware** — Prompts that understand your project conventions - **Iterative refinement** — Keep improving until it's perfect ## Features ### 🛠️ Tools | Tool | Description | |------|-------------| | `refine_prompt` | Improve your current prompt based on feedback and your workspace context | | `analyze_prompt` | Evaluate prompt quality with scores and improvement suggestions | | `generate_prompt` | Transform a raw idea into a well-structured prompt tailored to your project | ### 📦 Resources - **Template Library**: Reference templates for coding, writing, research, and analysis tasks - **Category Collections**: Browse templates by category for inspiration ## Installation ```bash npm install @merabylabs/promptarchitect-mcp ``` Or install globally: ```bash npm install -g @merabylabs/promptarchitect-mcp ``` ## Usage PromptArchitect MCP server works with any IDE or application that supports the [Model Context Protocol](https://modelcontextprotocol.io). Below are configuration examples for popular editors. > **No API key required!** The MCP server uses the PromptArchitect backend API, so you don't need your own Gemini API key. --- ### Claude Desktop Add to your Claude Desktop configuration file: - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` ```json { "mcpServers": { "promptarchitect": { "command": "npx", "args": ["@merabylabs/promptarchitect-mcp"] } } } ``` --- ### VS Code (GitHub Copilot) Add to your VS Code `settings.json` (Cmd/Ctrl+Shift+P → "Preferences: Open Settings (JSON)"): ```json { "github.copilot.chat.mcp.servers": { "promptarchitect": { "command": "npx", "args": ["@merabylabs/promptarchitect-mcp"] } } } ``` --- ### Cursor Add to your Cursor MCP settings: - **macOS/Linux**: `~/.cursor/mcp.json` - **Windows**: `%USERPROFILE%\.cursor\mcp.json` - Or via: Settings → MCP ```json { "mcpServers": { "promptarchitect": { "command": "npx", "args": ["@merabylabs/promptarchitect-mcp"] } } } ``` 📖 [Cursor MCP Documentation](https://docs.cursor.com/advanced/model-context-protocol) --- ### Windsurf (Codeium) Add to your Windsurf MCP configuration: - **macOS/Linux**: `~/.codeium/windsurf/mcp_config.json` - **Windows**: `%USERPROFILE%\.codeium\windsurf\mcp_config.json` ```json { "mcpServers": { "promptarchitect": { "command": "npx", "args": ["@merabylabs/promptarchitect-mcp"] } } } ``` 📖 [Windsurf MCP Documentation](https://docs.codeium.com/windsurf/mcp) --- ### Zed Add to your Zed settings: - **macOS**: `~/.config/zed/settings.json` - **Linux**: `~/.config/zed/settings.json` ```json { "context_servers": { "promptarchitect": { "command": { "path": "npx", "args": ["@merabylabs/promptarchitect-mcp"] }, "settings": {} } } } ``` 📖 [Zed MCP Documentation](https://zed.dev/docs/assistant/model-context-protocol) --- ### JetBrains IDEs Works with **IntelliJ IDEA, PyCharm, WebStorm, PhpStorm, GoLand, RubyMine, CLion, DataGrip, Rider, Android Studio**. 1. Install the **MCP Client** plugin from JetBrains Marketplace 2. Go to Settings → Tools → MCP Servers 3. Add a new server with this configuration: ```json { "mcpServers": { "promptarchitect": { "command": "npx", "args": ["@merabylabs/promptarchitect-mcp"] } } } ``` Or add to `.idea/mcp.json` in your project. 📖 [JetBrains MCP Plugin](https://plugins.jetbrains.com/plugin/mcp-client) --- ### Continue.dev Add to your Continue configuration: - **Global**: `~/.continue/config.json` - **Project**: `.continue/config.json` ```json { "experimental": { "modelContextProtocolServers": [ { "transport": { "type": "stdio", "command": "npx", "args": ["@merabylabs/promptarchitect-mcp"] } } ] } } ``` 📖 [Continue MCP Documentation](https://docs.continue.dev/customize/model-context-protocol) --- ### Cline (VS Code Extension) Open Cline Settings → MCP Servers, or edit `cline_mcp_settings.json`: ```json { "mcpServers": { "promptarchitect": { "command": "npx", "args": ["@merabylabs/promptarchitect-mcp"], "disabled": false } } } ``` 📖 [Cline MCP Documentation](https://github.com/cline/cline#mcp-support) --- ### Other MCP-Compatible Applications Any application supporting MCP can use this server. The standard configuration is: | Property | Value | |----------|-------| | Command | `npx` | | Args | `["@merabylabs/promptarchitect-mcp"]` | For global installation, use `promptarchitect-mcp` as the command after running: ```bash npm install -g @merabylabs/promptarchitect-mcp ``` --- ### Programmatic Usage ```typescript import { refinePrompt, analyzePrompt } from '@promptarchitect/mcp-server'; // Refine an existing prompt const result = await refinePrompt({ prompt: 'Write code to sort an array', feedback: 'Make it more specific about language and edge cases', }); console.log(result.refinedPrompt); // => "Write a TypeScript function that sorts an array of numbers..." // Analyze prompt quality const analysis = await analyzePrompt({ prompt: 'Help me with my code', }); console.log(analysis.scores); // { overall: 45, clarity: 50, ... } console.log(analysis.suggestions); // ["Be more specific about...", ...] ``` ## Configuration ### Environment Variables | Variable | Required | Description | |----------|----------|-------------| | `LOG_LEVEL` | No | Logging level: `debug`, `info`, `warn`, `error`. Default: `info` | ## Tool Reference ### refine_prompt Improve an existing prompt based on feedback. **This is the primary tool.** **Input:** ```json { "prompt": "Write code", "feedback": "Make it more specific and add examples", "preserveStructure": true } ``` **Output:** ```json { "refinedPrompt": "Write a TypeScript function that...", "changes": ["Added specificity", "Included example"], "metadata": { "originalWordCount": 2, "refinedWordCount": 45 } } ``` ### analyze_prompt Evaluate prompt quality and get improvement suggestions. **Input:** ```json { "prompt": "You are a helpful assistant. Help me write code." } ``` **Output:** ```json { "scores": { "overall": 65, "clarity": 70, "specificity": 50, "structure": 60, "actionability": 80 }, "suggestions": [ "Add more specific details about the code", "Include examples of expected output" ], "strengths": ["Clear action verb"], "weaknesses": ["Lacks specificity"] } ``` ### generate_prompt Transform a raw idea into a well-structured prompt. **Input:** ```json { "idea": "Create a code review assistant", "template": "coding", "context": "For TypeScript projects" } ``` **Output:** ```json { "prompt": "You are a senior code reviewer...", "metadata": { "template": "coding", "wordCount": 150, "hasStructure": true } } ``` ## Development ### Building ```bash npm install npm run build ``` ### Testing ```bash npm test ``` ### Running Locally ```bash npm start ``` ## Architecture ``` mcp-server/ ├── src/ │ ├── tools/ # MCP tools (refine, analyze, generate) │ ├── resources/ # Template library for reference │ ├── utils/ # Gemini client, logger │ ├── server.ts # MCP server configuration │ ├── cli.ts # CLI entry point │ └── index.ts # Main exports └── examples/ # Configuration examples ``` ## License Proprietary - © 2025 Meraby Labs. All rights reserved. This software is provided for use exclusively with the PromptArchitect service. Unauthorized copying, modification, distribution, or use outside the intended scope is prohibited. ## Related - [PromptArchitect](https://promptarchitectlabs.com/) - Full web application - [Model Context Protocol](https://modelcontextprotocol.io) - MCP specification - [MCP TypeScript SDK](https://github.com/modelcontextprotocol/typescript-sdk) - SDK used by this server

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