★ 0 stars
TypeScript
🤖 AI/LLM
Updated 1d ago
Multi-LLM system design interview coach with LangGraph orchestration, RAG with pgvector, MCP tool servers, and Redis caching. Built with Node.js, TypeScript, PostgreSQL, and OpenAI API.
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Quick Install
Copy the config for your editor. Some servers may need additional setup — check the README.
Claude Desktop
Claude Code
Cursor
Add to claude_desktop_config.json:
{
"mcpServers": {
"interactive-coach-ai": {
"command": "npx",
"args": [
"-y",
"shahvarun93/interactive-coach-ai"
]
}
}
}
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Run in terminal:
claude mcp add interactive-coach-ai npx -y shahvarun93/interactive-coach-ai
📋 Copy
Add to .cursor/mcp.json:
{
"mcpServers": {
"interactive-coach-ai": {
"command": "npx",
"args": [
"-y",
"shahvarun93/interactive-coach-ai"
]
}
}
}
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Topics
coding-challenge-practice docker gke interview-preparation langgraph-js mcp nodejs openai-api pgvector rag redis system-design typescript