1. Conduid
  2. Blockchain
  3. fantasieleven-code/callout
MCP server · Blockchain

fantasieleven-code/callout

assisted development. Nine expert viewpoints (CTO, Security, Product, DevOps, Customer, Strategy, Investor, Unicorn Founder, Solo Entrepreneur) analyze your project and produce actionable findings. Includes AI collaboration coaching and quantitative idea scoring.

Unclaimed last commit 7 months ago blockchain
34Low

Scored 6 months ago · breakdown

About fantasieleven-code/callout

fantasieleven-code/callout is an MCP server published by fantasieleven-code in the Blockchain category: assisted development. Nine expert viewpoints (CTO, Security, Product, DevOps, Customer, Strategy, Investor, Unicorn Founder, Solo Entrepreneur) analyze your project and produce actionable findings. Includes AI collaboration coaching and quantitative idea scoring.

The repository has 4 stars and 2 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/fantasieleven-code/callout

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (19)

callout_helpShow usage guide

Parameters not published.

coachAI collaboration blind spot detector

Parameters not published.

docDomain Knowledge Guard — register/remove/list/check doc bindings

Parameters not published.

doc_gateGate check: returns docs AI must read before modifying a file

Parameters not published.

idea_score10-dimension idea scoring with verdict

Parameters not published.

initInitialize auto-trigger rules

Parameters not published.

portfolioMulti-project overview with resource allocation advice

Parameters not published.

recommendDetect project needs and recommend best tools

Parameters not published.

recommend_dismissDismiss a recommendation scenario

Parameters not published.

recommend_resetReset all dismissed recommendations

Parameters not published.

Show all 19 tools
renovationSystematic domain knowledge audit against official docs

Parameters not published.

review9-perspective architecture review (3 groups: technical, business, founder)

Parameters not published.

save_review_findingsSave review summary for progress tracking

Parameters not published.

set_target_userSet target user for customer perspective

Parameters not published.

test_translateTurn test output into plain-language test plan

Parameters not published.

todo_addAdd a finding to the project todo list

Parameters not published.

todo_listView todos by priority or status

Parameters not published.

todo_summaryProject health overview

Parameters not published.

todo_updateUpdate todo status

Parameters not published.

Ask AI

✦

Ask AI about fantasieleven-code/callout

Powered by Claude · Grounded in docs

I know everything about fantasieleven-code/callout. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

Callout

npm version npm downloads

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

npx callout-dev 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:

Review this project

Claude Code:

claude mcp add callout -- npx callout-dev

Cursor / VS Code — add to your editor's MCP config (.cursor/mcp.json or .vscode/mcp.json):

{
  "mcpServers": {
    "callout": {
      "command": "npx",
      "args": ["callout-dev"]
    }
  }
}

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.

> Review this project                              — full 9-perspective review
> Review with founder group                        — investor + unicorn founder + solo entrepreneur
> Review focus: should I use Supabase or Firebase?  — focused on one decision
> Review security + CTO only                       — selected perspectives

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.

idea_score — Quantitative idea validator

Scores your idea across 10 dimensions (market size, feasibility, moat, revenue potential, etc.) with a skeptical default stance. Returns a verdict: CONTINUE, SIMPLIFY, PAUSE, or DELETE.

Domain Knowledge Guard — Make AI read docs before coding

Bind official documentation to code paths. Once bound, AI must read the referenced docs before modifying protected files.

> Bind Stripe docs to payment code     — register a doc binding
> Check if my code matches the docs    — compliance verification
> Start a renovation for stripe        — systematic domain knowledge audit

Tools: doc (register/remove/list/check), doc_gate, renovation

test_translate — Plain-language test results

Parses test output and tells you: what's tested, what failed, and produces a manual test script.

recommend — Tool recommendations

Detects what your project needs (auth, database, payments, etc.) and recommends the best tool — with install commands, setup steps, and alternatives.

Smart auto-triggers

After running init, Callout speaks up automatically:

  • New feature described → discusses before coding
  • Opening a new project → coach analysis
  • Modifying doc-protected files → gates until docs are read
  • Completing a milestone → suggests review

Works Best With (optional companion MCPs)

Callout integrates with these MCP servers when installed — no configuration needed:

MCP What it adds Install
Context7 Auto-pulls latest docs for 9000+ public libraries — feed into doc register claude mcp add context7 -- npx -y @upstash/context7-mcp
Sequential Thinking Structured step-by-step reasoning for complex renovations and multi-perspective reviews claude mcp add sequential-thinking -- npx -y @anthropic-ai/mcp-server-sequential-thinking
Firecrawl Scrapes any web docs into markdown — bind with doc register claude mcp add firecrawl -- npx -y firecrawl-mcp

How it works

Callout is an MCP server. It collects your project context (file structure, dependencies, README, git history) and assembles expert-perspective prompts. Your AI tool executes the review.

Callout never calls an LLM itself. Zero API cost. No API key needed. Works with whatever model you already use.


All 19 tools

Tool Description
review 9-perspective architecture review (3 groups: technical, business, founder)
coach AI collaboration blind spot detector
idea_score 10-dimension idea scoring with verdict
test_translate Turn test output into plain-language test plan
doc Domain Knowledge Guard — register/remove/list/check doc bindings
doc_gate Gate check: returns docs AI must read before modifying a file
renovation Systematic domain knowledge audit against official docs
recommend Detect project needs and recommend best tools
recommend_dismiss Dismiss a recommendation scenario
recommend_reset Reset all dismissed recommendations
todo_add Add a finding to the project todo list
todo_update Update todo status
todo_list View todos by priority or status
todo_summary Project health overview
init Initialize auto-trigger rules
callout_help Show usage guide
save_review_findings Save review summary for progress tracking
set_target_user Set target user for customer perspective
portfolio Multi-project overview with resource allocation advice

Contributing

Contributions welcome. Please open an issue before submitting a PR for significant changes.

npm install
npm run build
npm test

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About fantasieleven-code/callout

How do I install fantasieleven-code/callout?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is fantasieleven-code/callout safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is fantasieleven-code/callout still maintained?

The last commit was 7 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.