A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
4 ★ · fantasieleven-code/callout · 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 · 4 ★ · 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 fantasieleven-code/callout;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.
**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.