Semantic API – Find Any API with Natural Language (LangChain, MCP, CLI)
Natural language API routing—but Langchain integrations and API directories already solve this.

No-code backend from AI prompts, but Firebase, Supabase, and Vercel already own this space.
Non-technical founders, rapid MVP builders, teams wanting serverless backend without code
Firebase · Supabase · Vercel
I built DYPAI a backend platform where you describe what you need to your AI assistant (via MCP) and it builds the entire backend for you.
Instead of writing API routes or edge functions, your backend is a composition of nodes: database queries, Stripe payments, emails, Slack, WhatsApp, AI agents, logic – all connected as flows and exposed as production API endpoints.
One prompt, one endpoint: validate input → check permissions → query DB → transform data → send email → notify Slack → respond. No code. No deploy. Just works.
You can build from Cursor/Claude via MCP, see everything on a visual canvas, or use the REST API and TypeScript SDK directly.
It's in public beta so rough edges are expected – that's exactly why I'm sharing it here.
Demo video: https://www.dypai.ai/
Looking for feedback. Happy to answer anything.
Natural language API routing—but Langchain integrations and API directories already solve this.
Agent writes Stripe+Zendesk pipelines in 23 seconds with MCP endpoints for AI queries.
Solves messy cross-platform prediction market data with Claude-powered natural language search.
AI-powered backend-in-a-box, but Firebase, Supabase, and Parse already do this faster.
MCP skill lets AI agents provision form backends during code generation.
Temporary kubeconfig download lets Claude access full K8s API autonomously.