For AI-generated apps

Agents now produce more code, more pull requests, and more system change than any team can read line by line. Vy gives them, and you, what actually matters: a typed runtime, traces across the whole stack, and a live environment for every branch.

Runtime is the source of truth.

Reading the code back still tells you what the system does, it's just not efficient when an agent ships hundreds of changes a day. Vy's traces collapse the loop: every request, every queue hop, every database call, in one graph that humans and agents can both query.

A live environment per change.

Every pull request, including the ones an agent opens at 3am, gets its own URL, its own database branch, and its own trace view. Reviewing means clicking real behaviour, not guessing from a diff.

Typed surface, end to end.

Frontend, backend, database, one TypeScript graph. Rename an endpoint and every caller updates. Hallucinated paths and stale assumptions fail at compile time, before they ship.

A small, consistent surface.

Vy's primitives all follow the same shape: declare it in TypeScript, the runtime provisions it. The whole framework fits in an LLM's context, fewer tokens spent re-learning the platform every prompt.

MCP integration

Plug your agent into the graph.

The Vy MCP server gives Cursor, Claude Code, Windsurf and other MCP clients direct access to your project's schema, typed clients, and live traces, so the agent debugs against what actually ran, not what it imagines ran.

.cursor/mcp.json
json
1{
2 "mcpServers": {
3 "vy": {
4 "command": "vy",
5 "args": ["mcp"]
6 }
7 }
8}

Ship what your agent writes, with confidence.

Pair Cursor or Claude Code with Vy. Watch the loop close.