Official description7 sourcesMCP servers8d ago

mithun4elp/briefkit-mcp-server

BriefKit — Engineer-grade specs for AI-built SaaS. 14 files. $9. briefkit.online

View on GitHub ↗Direct link · no redirect page

Config template (adjust for your client)

claude mcp add briefkit-mcp-server -- npx -y briefkit-mcp-server

A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.

Star count: 1 ★ · mithun4elp/briefkit-mcp-server · read from the repository page · (checked 2026-10-16 20:00:20)
Source: collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history: first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score: score 703 · 1 ★ · 7 sources · mcp

FAQ (answers come from our records)

How do I install it?

We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.

Who is it for?

We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

Who maintains it?

repository mithun4elp/briefkit-mcp-server；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.

Third-party quality signals

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"]