What is MCP?

The Model Context Protocol (MCP) is an open standard backed by Anthropic. Think of it like a USB-C port for AI models.

Until now, AI in your IDE (like Cursor or Copilot) was blind to your Product Dashboard. It only knew about your code files.

With ProdMoh's MCP integration, we create a secure, real-time pipeline. Your AI assistant can now "read" your PRDs just as easily as it reads a JavaScript file.

Data Flow

dns ProdMoh DB

MCP Server

terminal Cursor / VS Code

> @ProdMoh fetch PRD-102
✓ Streamed "Checkout Redesign" (4kb)
✓ Loaded Acceptance Criteria

How this Supercharges Development

The difference between "guessing" requirements and "knowing" them.

highlight_off The Old Way

close Context Switching: Alt-tabbing between Jira, Notion, and VS Code breaks flow state.
close Copy-Paste Errors: Manually pasting requirements into ChatGPT loses formatting and nuance.
close Outdated Specs: Developers work off a PDF downloaded 3 days ago, missing the latest changes.
close Generic Code: AI writes generic code because it doesn't know your specific business rules.

                
                    check_circle With ProdMoh MCP
                
                check Zero Friction: Stay in the IDE. Ask the AI to "Check the PRD" without leaving the file.
check Live Sync: As PMs update the User Story, the IDE sees the change instantly via SSE.
check Constraint-Aware Code: The AI sees the "Negative Scenarios" in your docs and writes error handling automatically.
check TDD Ready: "Generate Jest tests based on Acceptance Criteria #3" actually works.

Ready to connect?

It takes 30 seconds to set up. You need a token from your dashboard.

Cursor / VS Code Config

Add this to your mcp.json file:

{
  "mcpServers": {
    "prodmoh": {
      "type": "sse",
      "url": "https://api.prodmoh.com/mcp/sse",
      "headers": {
        "x-prodmoh-token": "YOUR_TOKEN_HERE"
      }
    }
  }
}
                    

Generate My Token