ProdMoh is now an MCP Server. This means your Requirements, User Stories, and Acceptance Criteria live directly inside your IDE's AI context window.
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.
> @ProdMoh fetch PRD-102✓ Streamed "Checkout Redesign" (4kb)✓ Loaded Acceptance Criteria
The difference between "guessing" requirements and "knowing" them.
build_feature
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The "10x Engineer" Workflow. Give it a one-line request. It analyzes user feedback, writes the PRD, defines stories, and hands you a ready-to-code prompt.
analyze_customer_feedback
Turn Noise into Signal. Instantly parses thousands of CSV/PDF reviews to find the explicit pain points your users are begging you to fix.
generate_coding_prompt
Eliminate Hallucinations. Feeds your IDE strict business rules and edge cases, preventing 80% of "first draft" bugs.
generate_test_cases
TDD on Autopilot. Don't write tests manually. Generate comprehensive Jest/Pytest suites directly from the Acceptance Criteria.
get_prd_context
Single Source of Truth. Pulls the live, approved spec. No more building off outdated Slack threads.
list_userstories
Backlog at your Fingertips. Let the AI browse your active sprint board to pick its next task.
It takes 30 seconds to set up. You need a token from your dashboard.