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Cursor + Trova

Your specs, live in Cursor

Trova's MCP server gives Cursor direct access to your product context, priorities, and customer signals. No more copy-pasting. No more stale briefs.

Get Started FreeWhat Are Agent-Ready Specs?

How It Works

1

Connect via MCP

Add Trova's MCP server to your Cursor config. One line in your settings.

2

Cursor gets context

When you start a task, Cursor can query Trova for the spec, priorities, and customer signals.

3

Build with evidence

Cursor builds knowing what customers asked for and what decisions you've already made.

MCP Tools Available to Cursor

get_product_context

Returns the product vision, current priorities, and active opportunities so Cursor knows what matters.

search_signals

Queries customer feedback by keyword or theme. Cursor can ask "what did customers say about onboarding?"

get_opportunity

Returns full detail on a specific opportunity including evidence, confidence score, and related signals.

get_prior_decisions

Returns past decisions so Cursor doesn't rebuild something you already decided against.

report_implementation_issue

Lets Cursor flag ambiguities or blockers back to the PM without breaking flow.

Why This Matters

No more copy-pasting specs

Cursor reads directly from Trova. The spec, the context, the customer quotes — all available without leaving your editor.

Cursor asks, Trova answers

Mid-build, Cursor can query what customers actually said about a feature. No tab-switching. No Slack searches.

Decisions persist

Cursor knows what you've already decided. It won't suggest approaches you've ruled out or rebuild features you've shipped.

Feedback flows back

When Cursor hits an ambiguity, it reports back to Trova. You see the issue in your PM workflow, not buried in a code comment.

Example: Cursor querying Trova

// Cursor asks Trova what customers said about search
const signals = await mcp.searchSignals({
  query: "search functionality",
  limit: 10
});

// Returns actual customer quotes with source and date
// Cursor now builds search knowing exactly what users asked for

Give Cursor the context it needs

Start free. Connect your signals. Let Cursor build from real customer evidence.

Get Started Free