BuiltByVibe for AI Agents
When someone asks an AI assistant “What is the best tool for X?” or “Find apps built with Cursor”, BuiltByVibe provides structured, human-moderated directory feeds directly to LLMs to make product discovery seamless.
How It Works
Three steps — and only the first one requires any effort from you.
Submit & Moderation Review
Submit your project title, description, live demo, and tools used. Our moderation team reviews every submission (checking active demos, valid repositories, and accurate tool tags) to ensure high-signal listings.
AI Agents Query BuiltByVibe
Autonomous agents, IDEs, and LLM crawlers can ingest and query your project through our Model Context Protocol server, llms.txt feeds, RSS syndication, and Schema.org metadata.
Enabling AI Discovery
When users ask AI assistants for recommendations, alternatives, or vibe-coding inspiration, our feeds and MCP tools make discovery possible. Note that third-party AI models independently decide which sources to ingest and cite.
4 Machine-Readable Formats
Every approved project is syndicated into four structured formats designed for modern AI models and developer tooling.
llms.txt Index
A proposed format for LLM context ingestion. A lightweight, clean markdown catalog listing categories, featured projects, tools, and URLs.
llms-full.txt Archive
A comprehensive knowledge base providing deep project descriptions, GitHub repositories, AI build percentages, and maker handles for extended reasoning.
Model Context Protocol (MCP)
Real-time JSON-RPC 2.0 tool execution at /api/mcp. Lets Cursor, Claude Desktop, Claude Code, and VS Code query live directory data on demand.
Schema.org JSON-LD
Every project page injects structured SoftwareApplication JSON-LD to help search engines understand project details, which may support indexing and rich search results where supported.
Ready to Launch Your App?
Submit today for free. Join our growing community of vibe coders and get noticed by human users and AI agents alike.