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rampify-dev

Rampify MCP Server

by rampify-dev

create_feature_spec

Generate structured feature specifications for Rampify projects by defining requirements, acceptance criteria, and implementation tasks from codebase context.

Instructions

Create and save a feature specification to Rampify.

IMPORTANT: Before calling this tool, YOU (Claude) must generate the complete structured spec from the user's description and your codebase context. Do not pass raw natural language — populate all fields:

  • Infer affected_files from open files and the codebase structure

  • Infer tech_stack from package.json and imports

  • Generate 3-5 acceptance criteria covering happy path, edge cases, and error handling

  • Break implementation into 3-8 concrete tasks with file references

  • Write ai_context_summary to help future AI agents understand the approach

  • Set next_action to the single most important first step

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoSite domain (e.g., "example.com"). Uses SEO_CLIENT_DOMAIN env var if not provided.
project_idNoProject UUID — use instead of domain when no domain is configured. Accepts client ID (from /clients/[id]/ in the dashboard URL) or site UUID. Uses RAMPIFY_PROJECT_ID env var if not provided.
titleYesShort, imperative title (e.g., "Add dark mode toggle")
descriptionNoFull description of the feature, its purpose and user value
feature_typeNoType of feature (default: new_feature)
priorityNoPriority level (default: normal)
ai_context_summaryNo2-3 sentence summary of architecture decisions for future AI agents
next_actionNoThe single next concrete step to start implementation
tech_stackNoTechnologies involved (e.g., ["Next.js", "Tailwind CSS"])
affected_filesNoFiles to create or modify (relative paths)
tagsNoCategorization tags
criteriaNoAcceptance criteria
tasksNoOrdered implementation tasks

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