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Brief

MCP context layer that gives Cursor, Claude Code and other agents your product decisions and constraints

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freemiumDR 28The site does not publish a price sheet; access runs through the product signup rather than a rate card, so no figures are recorded here rather than guessed.View full pricing →

About Brief

Brief is a context layer that sits between a team's product decisions and the AI coding agents doing the building. Its argument is that agents like Cursor, Claude Code and Codex now ship fast but ship blind: they have the repository and none of the reasoning — which customer complaint drove the requirement, which constraint is non-negotiable, which approach was already tried and rejected. Brief connects those decisions, customer context and strategic constraints to the agents over MCP, so the same rationale a product lead would give a new engineer is available to the agent at the moment it writes code. The company describes the product as a Navigator rather than an assistant: it does not generate the work, it makes sure every builder — human or agent — is aligned from vision through to impact, and that nobody ships without knowing why. It runs on the web plus macOS, Windows and Linux, and publishes structured SoftwareApplication metadata classifying itself as an AI development tool. This is the emerging category of agent memory and context infrastructure, approached from the product-management side rather than the retrieval side. Brief is San Francisco based and founded in 2024. Brief is a two-person team and publishes a macOS, Windows and Linux client alongside the web app, positioning itself as something that sits beside the editor rather than inside it.

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Key Features

Connects product decisions and constraints to coding agents over MCP
Works with Cursor, Claude Code and other agent front ends
Carries customer context alongside requirements
Records which approaches were tried and rejected
Web plus macOS, Windows and Linux clients

Brief Pros & Cons

Pros

  • +Attacks a real failure mode — agents writing correct code for the wrong reason
  • +MCP-native, so it plugs into agent tooling without a custom integration

⚠️ Cons

  • No published pricing
  • Value depends on a team actually recording its decisions somewhere

Tags

mcpproduct managementai agentscontextcursor
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