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官方说明7 个来源MCP 服务8 天前
fantasieleven-code/callout

fantasieleven-code/callout

Multi-perspective architect
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add callout -- npx -y callout
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
4 ★ · fantasieleven-code/callout · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 4 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 fantasieleven-code/callout;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Callout

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**You used AI to write code for 3 days. Callout tells you 60% of it was over-engineered.**
AI coding tools make you 10x faster at writing code. Nobody checks if you're building the *right* thing. Callout is the second pair of eyes — 9 expert perspectives that catch what you miss, delivered as an MCP server that works inside Claude Code, Cursor, VS Code, and Windsurf.
---
Why Callout exists
A real product was built using Claude Code in 6 days: 186 files, 691 tests. A multi-perspective review on Day 5 found that 60% was over-engineered. 9 days of planned work reduced to 3.5 days. The key insight: **the problem wasn't bad code — it was wrong priorities and missed blind spots**.
Callout makes that review available to every developer, automatically.
---
30-second setup
No global install needed. Run this from your project directory. Callout auto-detects your editor and configures the MCP server.
**After setup, restart your editor** (or re-enter Claude Code from the project directory), then say:
Manual setup (if npx setup doesn't work)
**Claude Code:**
**Cursor / VS Code** — add to your editor's MCP config (.cursor/mcp.json or .vscode/mcp.json):
**Windsurf** — add to ~/.codeium/windsurf/mcp_config.json with the same format.
After any manual setup, **restart your editor** so it picks up the new MCP server.
---
Quick Start: What to say
| Phase | What you want | Say this to AI | What happens |
|-------|--------------|----------------|--------------|
| **Get started** | Check my AI collaboration habits | "Coach me" | Scans your project setup, finds blind spots, outputs improvement checklist |
| | Evaluate this project | "Review this project" | 9 expert perspectives review your project, categorize as MUST FIX / SHOULD FIX / GOOD |
| | Is this idea worth building? | "Score this idea" | 10-dimension scoring, verdict: CONTINUE / SIMPLIFY / PAUSE / DELETE |
| **Go deeper** | Get advice on a specific decision | "Review focus: should I use Supabase?" | Multi-perspective review focused on one question |
| | Make AI read docs before coding | "Bind Stripe docs to payment code" | AI must read official docs before modifying protected files — no more guessing |
| | What tool should I use? | "I need to add payments" | Detects project needs, recommends best tool with install steps |
| **Manage** | See all findings and progress | "Show my todos" | All review/coach findings auto-collected, sorted by priority |
> **Multi-project?** Say **"portfolio"** for cross-project health status and resource allocation advice.
---
Core Features
review — 9 expert perspectives on your project
3 groups, 9 perspectives:
| Group | Perspectives | What they catch |
|-------|-------------|----------------|
| **Technical** | CTO, Security, DevOps | Over-engineering, vulnerabilities, deployment gaps |
| **Business** | Product, Customer, Strategy | Missing features, UX gaps, business model issues |
| **Founder** | Investor, Unicorn Founder, Solo Entrepreneur | Market fit, scalability, solo feasibility |
Every finding is categorized as **MUST FIX**, **SHOULD FIX**, or **GOOD** with effort estimates. Starts with an Executive Summary.
coach — AI collaboration blind spot detector
Analyzes your project setup, development habits, and knowledge gaps. Tells you what you don't know you're doing wrong when working with AI coding tools.
来源
awesome · https://github.com/fantasieleven-code/callout
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