BriefKit — Engineer-grade specs for AI-built SaaS. 14 files. $9. briefkit.online
BriefKit MCP Server
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Engineer-grade SaaS specification generator for AI build tools.
What it does
This MCP server lets AI assistants (Claude, ChatGPT, etc.) generate structured SaaS specifications on demand. When a user asks about building a SaaS product, the AI can call these tools to produce production-ready specs.
Token efficiency
BriefKit MCP reduces token consumption by 70-85% for SaaS specification tasks on Claude Code, Cursor, and other AI assistants.
**Without MCP:** Claude reasons through schema, RLS, and design decisions from scratch — typically 8,000-15,000 output tokens per response.
**With MCP:** Claude calls structured tools that return pre-built specs in 500-1,500 tokens.
**Real measurements** (CRM for real estate agents):
- Without MCP: ~11,200 tokens, 4 turns to converge
- With MCP: ~1,800 tokens, 1 turn
If you're hitting Claude Code usage limits faster than expected on spec-heavy work, this MCP keeps spec-generation tasks under 2,000 tokens per call.
Tools
| Tool | What it generates |
|------|------------------|
| briefkit_generate_design_system | Complete DESIGN.md — colors, fonts, spacing, components, dark mode |
| briefkit_generate_database_schema | PostgreSQL/Supabase schema — tables, columns, types, FKs, indexes, security baseline |
| briefkit_generate_rls_policies | Row Level Security policies — per table, per role, with server-only restrictions |
| briefkit_get_info | Information about BriefKit and the full 14-file brief pack |
Setup
Install
Use with Claude Desktop
Add to your claude_desktop_config.json:
Use with Claude Code
Examples
**User**: "I'm building a CRM for real estate agents. Help me set up the database."
**AI calls**: briefkit_generate_database_schema with:
- product_name: "RealEstCRM"
- saas_type: "b2b"
- custom_tables: ["properties", "showings", "offers", "commissions"]
**Result**: Complete SQL schema with 10 tables, typed columns, foreign keys, indexes, and security baseline.
---
**User**: "Generate RLS policies for my SaaS. I have profiles, orders, and payments tables with Owner and Member roles."
**AI calls**: briefkit_generate_rls_policies with:
- tables: ["profiles", "orders", "payments"]
- roles: ["Owner", "Member"]