Specs your engineering team (human and agent) will love
Use ChatPRD in Claude Code, Codex, Cursor, VS Code, or Windsurf through MCP. Pull product context, write technical specs, and make sure what you build matches what product envisioned, all without leaving your editor.
Free to start · 14-day Pro trial · SOC 2 Type II
Works with your tools
Cursor
AI code editor
Claude Code
Anthropic's CLI
Codex
OpenAI's agent
VS Code
Built-in MCP support
ChatPRD and your code, together
Add ChatPRD's MCP server to Claude Code, Codex, Cursor, VS Code, Windsurf, ChatGPT, or Claude. Search documents, read PRDs, and create or update docs from your coding environment.
- Set up with a few lines of config
- Search and read PRDs without leaving your editor
- Access templates, projects, and past chats through MCP
- OAuth sign-in, no API key required
Prototype and vibe code from your specs
ChatPRD builds a clickable React prototype from your spec right in the chat, with a code view and zip export. Or open the spec in your favorite AI coding tool.
Great engineering starts with clear requirements
Vague specs lead to rework, misalignment, and wasted sprints. ChatPRD writes technical specs with acceptance criteria, edge cases, and architecture guidance, so engineers know what to build and why.
- Acceptance criteria that leave no room for ambiguity
- Technical constraints and dependencies documented upfront
- Edge cases and error states identified before coding starts
- Build a clickable prototype first, or open the spec in Cursor or Linear
Set up our MCP in 2 minutes
Getting ChatPRD in your IDE is fast. Connect your editor and sign in with OAuth when prompted.
Copy the MCP config
Grab the setup for your tool from the ChatPRD MCP page. It works with Claude Code, Codex, Cursor, VS Code, Windsurf, ChatGPT, and Claude.
Paste into your editor settings
Drop the config into your MCP settings file. Your editor guides you through secure ChatPRD sign-in when authorization is needed.
Start using product context
Search documents, read PRDs, access templates, and pull project context from your coding environment. Need it in your own systems? There's a REST API too.
{
"mcpServers": {
"chatprd": {
"url": "https://app.chatprd.ai/mcp"
}
}
}- < 2 min
- MCP setup time
- 19
- MCP tools available
- 7
- MCP clients supported
- 0
- API keys required
“Having product context directly in my IDE changed everything. I spend way less time in Slack asking 'what are we building again?'”
Start shipping better products.
Join 250,000+ product managers who use ChatPRD to write better docs, align teams faster, and build products users love.
