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 can "read" your user stories, API schemas, and technical specs directly as it writes code.
- No more copy-pasting specs
- Agents stay in sync with design
- Zero-config architectural context
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 --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 --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
Always start with 'get_active_context'. This forces the agent to acknowledge the specific project, preventing generic AI hallucinations.
02. Roadmap Sync
Call 'get_build_roadmap' to let the agent see the full implementation sequence. This ensures features are built in the correct architectural order.
03. Tool-Driven Build
Use 'get_implementation_prompt' for every single feature. It provides the exact stories and tech specs the agent needs to write production code.
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.