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Ai Product Planner

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Turns product ideas into implementation-ready planning packages including PRD, requirements, user flow, wireframes, data schema, API contracts, and SDK boundari

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About

Turns product ideas into implementation-ready planning packages including PRD, requirements, user flow, wireframes, data schema, API contracts, and SDK boundaries, with an MCP handoff for coding agents.

README

AI Product Planner turns a product idea into an implementation-ready planning package: PRD, requirements, user flow, wireframes, data schema, API contracts, SDK boundaries, and an MCP handoff for coding agents.

The generation pipeline uses a supervisor stage followed by dependency-aware parallel workers. It calls any OpenAI-compatible Chat Completions API and keeps generated sessions on the local filesystem.

Requirements

  • Node.js 22 or newer
  • An OpenAI-compatible LLM API key and model with structured JSON output support

Quick Start

npm install
cp .env.example .env
# Set PLANNER_LLM_API_KEY and, if needed, the base URL and model.
npm run build
npm start

Open http://127.0.0.1:8792.

For frontend and backend development in separate terminals:

npm run dev:server
npm run dev

LLM Providers

The default example targets NVIDIA's OpenAI-compatible endpoint with z-ai/glm-5.2. Other providers work when they implement POST /chat/completions with messages, response_format, and choices[0].message.content.

Set PLANNER_LLM_STRUCTURED_OUTPUT=false only when the selected provider does not support response_format: { "type": "json_object" }. The planner still validates the returned JSON and fails explicitly if the contract is invalid.

Authentication

The default server binds only to 127.0.0.1 and allows unauthenticated local use. It refuses to start with PLANNER_AUTH_MODE=none on a non-loopback host.

For deployment behind an access proxy, use header mode:

HOST=0.0.0.0
PLANNER_AUTH_MODE=header
PLANNER_AUTH_HEADER=x-authenticated-user
PLANNER_AUTH_HEADER_VALUE=expected-proxy-value

Your proxy must strip incoming copies of that header and inject the trusted value after authentication. MCP clients can instead use PLANNER_MCP_BEARER_TOKEN.

MCP

The JSON-RPC MCP endpoint is /mcp. It exposes planning sessions, generated contracts, active implementation goals, and run handoff resources.

curl http://127.0.0.1:8792/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'

Commands

npm test
npm run lint
npm run typecheck
npm run build

See SERVER_START_HERE.md, SERVER_OPERATIONS.md, and APP_DATA_SCHEMA.md for integration details.

License

MIT

from github.com/codenameju/ai-product-planner

Installing Ai Product Planner

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/codenameju/ai-product-planner

FAQ

Is Ai Product Planner MCP free?

Yes, Ai Product Planner MCP is free — one-click install via Unyly at no cost.

Does Ai Product Planner need an API key?

No, Ai Product Planner runs without API keys or environment variables.

Is Ai Product Planner hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Ai Product Planner in Claude Desktop, Claude Code or Cursor?

Open Ai Product Planner on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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