Connect AI to your Architectural Truth
Use the Model Context Protocol (MCP) to grant Cursor, Claude Code, and other coding agents secure, real-time access to your project blueprints.
Model Context Protocol is an open standard that allows AI models to interact with local and remote data sources safely.
With PRD Studio's MCP server, your AI agent transforms from a generic coder into a Dedicated Implementation Partner.
- Smart Context: Agents read your specific API schemas and User Stories.
- Real-time Sync: Progress marked by the agent updates your dashboard.
- Zero Hallucination: Agents follow your pre-approved architectural blueprints.
Enterprise Security
The MCP server acts as an authenticated proxy. It never shares your database credentials—only the generated architectural blueprints.
Get your API keynpx -y prd-studio-mcp --key=YOUR_API_KEY --project=PROJECT_ID --url=https://prd.tdwas.comLocal Development?
If you are testing locally, run the server directly from the root: node mcp-server/index.js --key=YOUR_API_KEY --project=PROJECT_ID --url=http://localhost:3000
Builder Integration Guide
Configure your favorite AI agent to speak directly with PRD Studio.
Configuration
Add a new MCP server in Cursor settings:
Expected Result
Cursor will index your blueprints and provide code completions that follow your project's architectural patterns perfectly.
"I've connected PRD Studio via MCP. Please use 'get_active_context' to understand the project and then 'get_build_roadmap' to see our current state."
"Let's implement the next feature from the roadmap. Use 'get_implementation_prompt' to fetch the full technical specs and user stories for this step."
The "Architect-First" Building Strategy
Maximize AI efficiency by following this proven orchestration sequence.
01. Context Lock
Start with 'get_active_context' and 'get_next_milestone'. This anchors the agent to your immediate business priorities.
02. Deep-Dive Extraction
Instead of generic code, the agent uses 'get_api_blueprint' to write production-ready routes based on your exact specs.
03. Proactive Proposals
The agent uses 'propose_prd_update' to suggest technical improvements, which you can approve in the PRD Studio dashboard.
For VibeCoders
Stop fighting with LLM hallucinations. By providing a strict architectural context via MCP, your AI agent stops guessing and starts building exactly what you need.
- 100% accurate context
- No technical knowledge required
For Pro Developers
Accelerate your boilerplate phase. Use MCP to instantly inject Prisma schemas, RLS policies, and complex infrastructure plans into your agent's workspace.
- Direct Schema Injection
- Custom API Orchestration
Ready to start?
You'll need a unique API key to identify your project during the connection process.