AI-Powered Code Quality
For Your IDE
Production-ready MCP tools for code assessment, memory management, and pattern-based development. Works with Claude Code, Cursor, and any MCP-compatible client.
Available Tools
Six core tools to enhance your AI-assisted development workflow
What it does: Stores your preferences, decisions, and project context persistently across coding sessions.
Use it for: Starting sessions, saving learnings, searching past decisions, and maintaining continuity between conversations.
memory({ action: 'session_start' })What it does: Scans code for security vulnerabilities, quality issues, missing documentation, and anti-patterns.
Use it for: Pre-commit checks, code reviews, identifying technical debt, and ensuring consistent quality standards.
assess({ code: '...', checks: 'auto' })What it does: Provides 50+ curated code patterns for TypeScript, Python, React, and APIs that you can inject into your code.
Use it for: Error handling, API design, authentication flows, and applying consistent team conventions.
pattern({ action: 'select', task: '...' })What it does: A simplified interface to the memory system for quick load, search, save, and end-session operations.
Use it for: Fast session setup, quick knowledge lookups, and saving insights without complex syntax.
context({ action: 'load' })What it does: Automatically watches code changes, scores quality, detects issues, and suggests improvements.
Use it for: Continuous quality feedback while coding, catching issues early, and learning from patterns.
monitor({ code: '...', action: 'edit' })What it does: Provides guidance on which tool to use, detailed documentation, and setup instructions.
Use it for: Learning the tools, getting task-based recommendations, and troubleshooting setup issues.
help({ tool: 'assess' })Get Started
Connect to the MCP server in three steps
1Get Your API Token
Sign in to your Engify dashboard to get your personal API token. This authenticates your IDE with the MCP server.
Go to Dashboard2Configure Your IDE
CClaude Code
Add to your MCP settings file:
{
"mcpServers": {
"engify": {
"url": "https://mcp.engify.ai",
"transport": "http"
}
}
}▶Cursor
Add to .cursor/mcp.json:
{
"servers": {
"engify": {
"url": "https://mcp.engify.ai"
}
}
}3Test Your Connection
Verify the server is accessible:
curl https://mcp.engify.ai/health
# {"status":"ok","version":"0.3.1"}API Reference
Direct HTTP access for testing and integration
| Endpoint | Method | Description |
|---|---|---|
/health | GET | Basic health check |
/healthz | GET | Detailed health with dependency status |
/tools | GET | List all available tools with schemas |
/tools/{name} | POST | Call a specific tool with arguments |
/prompts | GET | List available prompts |