Provides workspace-aware prompt engineering tools within Android Studio for refining, analyzing, and generating prompts tailored to Android development projects.
Enables prompt refinement and analysis within CLion for C/C++ projects, considering project structure and dependencies.
Enables prompt refinement and generation within Windsurf IDE, leveraging project context to improve AI-assisted coding prompts.
Provides prompt engineering tools within DataGrip for database-related tasks, offering context-aware prompt refinement.
Integrates prompt engineering tools into VS Code's GitHub Copilot chat interface, enabling context-aware prompt refinement and analysis for coding tasks.
Integrates workspace-aware prompt refinement and generation into GoLand for Go development projects.
Integrates AI-powered prompt refinement and analysis tools into IntelliJ IDEA, considering project tech stack and structure for improved prompt quality.
Provides prompt engineering tools within PhpStorm for refining and generating prompts specific to PHP development contexts.
Offers prompt engineering capabilities within PyCharm, providing context-aware prompt refinement and generation for Python development workflows.
Integrates AI-powered prompt refinement into Rider for .NET development, tailoring prompts to project context and conventions.
Offers prompt engineering capabilities within RubyMine, providing context-aware refinement for Ruby development workflows.
Enables prompt refinement and analysis within WebStorm, tailoring prompts to JavaScript/TypeScript projects and their dependencies.
@merabylabs/promptarchitect-mcp
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 |
| Improve your current prompt based on feedback and your workspace context |
| Evaluate prompt quality with scores and improvement suggestions |
| 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
Or install globally:
Usage
PromptArchitect MCP server works with any IDE or application that supports the Model Context Protocol. 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.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
VS Code (GitHub Copilot)
Add to your VS Code settings.json (Cmd/Ctrl+Shift+P → "Preferences: Open Settings (JSON)"):
Cursor
Add to your Cursor MCP settings:
macOS/Linux:
~/.cursor/mcp.jsonWindows:
%USERPROFILE%\.cursor\mcp.jsonOr via: Settings → MCP
Windsurf (Codeium)
Add to your Windsurf MCP configuration:
macOS/Linux:
~/.codeium/windsurf/mcp_config.jsonWindows:
%USERPROFILE%\.codeium\windsurf\mcp_config.json
Zed
Add to your Zed settings:
macOS:
~/.config/zed/settings.jsonLinux:
~/.config/zed/settings.json
JetBrains IDEs
Works with IntelliJ IDEA, PyCharm, WebStorm, PhpStorm, GoLand, RubyMine, CLion, DataGrip, Rider, Android Studio.
Install the MCP Client plugin from JetBrains Marketplace
Go to Settings → Tools → MCP Servers
Add a new server with this configuration:
Or add to .idea/mcp.json in your project.
Continue.dev
Add to your Continue configuration:
Global:
~/.continue/config.jsonProject:
.continue/config.json
Cline (VS Code Extension)
Open Cline Settings → MCP Servers, or edit cline_mcp_settings.json:
Other MCP-Compatible Applications
Any application supporting MCP can use this server. The standard configuration is:
Property | Value |
Command |
|
Args |
|
For global installation, use promptarchitect-mcp as the command after running:
Programmatic Usage
Configuration
Environment Variables
Variable | Required | Description |
| No | Logging level:
,
,
,
. Default:
|
Tool Reference
refine_prompt
Improve an existing prompt based on feedback. This is the primary tool.
Input:
Output:
analyze_prompt
Evaluate prompt quality and get improvement suggestions.
Input:
Output:
generate_prompt
Transform a raw idea into a well-structured prompt.
Input:
Output:
Development
Building
Testing
Running Locally
Architecture
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 - Full web application
Model Context Protocol - MCP specification
MCP TypeScript SDK - SDK used by this server