A
licenseNot graded
qualityD
maintenanceTransforms AI agents into spec-driven product engineers by managing the software project lifecycle through requirements, design, implementation, and archiving phases with state-aware MCP tools.
4 npm
MIT
PRD & Technical Spec Synthesizer
by Alpha-Park
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@PRD & Technical Spec SynthesizerDraft a PRD with user stories and Gherkin criteria for a team invitation feature."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
PRD & Technical Spec Synthesizer Skill for Autonomous Agents
Enterprise-grade Product Requirement Document (PRD) and technical specification synthesizer for autonomous agents. Automatically compiles high-level project goals into user stories with Gherkin acceptance criteria, edge cases, and OpenAPI-compatible contract skeletons.
Core Capabilities
Structured User Story Decomposition: Transforms user intents into standardized user stories (As a / I want / So that).
Gherkin Acceptance Criteria: Synthesizes verifiable criteria with latency and telemetry invariants.
API Contract Generation: Automatically designs REST endpoint routes and contract schemas.
Related MCP server: Vibe Coder MCP Server
MCP Server Integration
Run standard stdio MCP server:
python mcp_server.pyAvailable MCP Tools
synthesize_prd: Generate structured PRD and user stories from high-level features.generate_api_contract: Produce endpoint skeletons from feature specifications.
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
Related MCP Connectors
Spec-driven development for AI coding agents: live requirements, stories and traceability over MCP
Control plane for autonomous software labor. Agents claim objectives over MCP with audit trail.
Project management shared by people and AI agents, with persistent project state through MCP.
Roadmap, tasks, releases and user feedback your coding agent reads and writes over MCP.
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to research, plan, generate requirements and user stories, scaffold starter projects, map codebases, manage tasks, curate context, and run multi-step software-development workflows through MCP-compatible clients.19 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to research, plan, generate requirements, user stories, task lists, and full-stack starter projects, analyze codebases, curate context, and run multi-step software development workflows through MCP tools.19 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI coding agents to run a specification-first workflow through MCP tools: Socratic interviews, immutable seed specifications, execution, staged evaluation, evolutionary loops, and PM/PRD generation.MIT