Cc Recommender
БесплатноНе проверенAnalyzes project dependencies and recommends relevant skills, plugins, and MCP servers for Claude Code, enabling users to discover and install optimal tools.
Описание
Analyzes project dependencies and recommends relevant skills, plugins, and MCP servers for Claude Code, enabling users to discover and install optimal tools.
README
npm version npm downloads CI codecov License: MIT Node.js Version
🎯 Skills, Plugins, and MCP Server Recommendation MCP Server for Claude Code
English | 日本語
Just ask "What should I install?" in Claude Code, and it will analyze your project and recommend the best skills, plugins, and MCP servers.
Features
- 📦 Plugin Recommendations - Suggests optimal plugins from the official marketplace
- 🔌 MCP Server Recommendations - Search MCP servers from awesome-mcp-servers
- 🎯 Skill/Workflow Recommendations - Suggests skills, hooks, and commands from awesome-claude-code
- 🔍 Project Analysis - Automatically detects languages, frameworks, and dependencies
- 🏷️ Keyword Search - Search by name or tags
- 🔄 Auto-Update - Always fetches the latest data from GitHub (no manual updates needed)
- ⭐ Quality Scoring - Evaluates skills based on official status, stars, freshness, and source
- 🤖 Official Skills Discovery - Automatically discovers official skills from known organizations
Installation
Via npm (Recommended)
npm install -g cc-recommender
Local Build
git clone https://github.com/yuji0809/cc-recommender.git
cd cc-recommender
pnpm install
pnpm run build
Requirements:
- Node.js >= 22.0.0
- pnpm >= 10.0.0 (for local build)
Usage with Claude Code
For Cursor users: Use ~/.cursor/mcp.json instead of ~/.claude/settings.json
Option 1: Using npx (Recommended)
No installation required. Always uses the latest version.
Add to ~/.claude/settings.json (or ~/.cursor/mcp.json for Cursor):
{
"mcpServers": {
"cc-recommender": {
"command": "npx",
"args": ["-y", "cc-recommender"]
}
}
}
Option 2: Global Installation
Faster startup, works offline. Requires manual updates.
npm install -g cc-recommender
Add to ~/.claude/settings.json:
{
"mcpServers": {
"cc-recommender": {
"command": "cc-recommender"
}
}
}
Option 3: Local Build (For Development)
git clone https://github.com/yuji0809/cc-recommender.git
cd cc-recommender
pnpm install
pnpm run build
Add to ~/.claude/settings.json:
{
"mcpServers": {
"cc-recommender": {
"command": "node",
"args": ["/path/to/cc-recommender/dist/index.js"]
}
}
}
How to Use
Project Analysis and Recommendations
You: What should I install for this project?
Claude: [Uses recommend_skills tool]
📦 Plugins
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. typescript-lsp (Official)
├─ Purpose: TypeScript definition jump, type checking
├─ Score: 95 ✅ High Match
└─ Install: /plugin install typescript-lsp
🔌 MCP Servers
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. supabase-mcp
├─ Purpose: Supabase DB operations
├─ Reason: Depends on @supabase/supabase-js
└─ Install: claude mcp add supabase-mcp
Keyword Search
You: Find MCP servers related to databases
Claude: [Uses search_skills tool]
Available Tools
| Tool | Description |
|---|---|
recommend_skills |
Analyzes project and recommends appropriate skills/plugins/MCPs |
search_skills |
Search by keywords |
get_skill_details |
Get details of a specific item |
list_categories |
Get list of categories |
get_stats |
Get database statistics |
Data Sources
This MCP server aggregates data from the following sources:
| Source | Content | Update Frequency |
|---|---|---|
| anthropics/claude-plugins-official | Official plugin marketplace | Daily |
| punkpeye/awesome-mcp-servers | Curated list of MCP servers | Daily |
| hesreallyhim/awesome-claude-code | List of skills/workflows/hooks | Daily |
Auto-Update Feature
How it works:
- The server automatically fetches the latest data from GitHub when it starts
- Falls back to bundled data if the remote fetch fails
- No manual updates or reinstallation required
Offline Mode (optional):
{
"mcpServers": {
"cc-recommender": {
"command": "npx",
"args": ["-y", "cc-recommender"],
"env": {
"CC_RECOMMENDER_OFFLINE_MODE": "true"
}
}
}
}
When CC_RECOMMENDER_OFFLINE_MODE is enabled, only bundled data is used (no remote fetching).
Environment Variables
| Variable | Description | Default |
|---|---|---|
CC_RECOMMENDER_OFFLINE_MODE |
Disable auto-updates and use only bundled data | false |
GITHUB_TOKEN |
GitHub personal access token (increases API rate limit from 60 to 5000 req/hour) | Not set |
SKIP_SECURITY_SCAN |
Skip security scanning during data fetch (for developers) | false |
Notes:
- To fetch skills from GitHub repositories, a GitHub token is recommended to avoid rate limits. Create a token at https://github.com/settings/tokens with
public_reposcope.
Development
For development setup and contribution guidelines, see:
- CONTRIBUTING.md - Contribution guide
- ARCHITECTURE.md - Architecture documentation
Quick Start for Developers
# Install dependencies
pnpm install
# Run tests
pnpm run test
# Type check + Lint + Security audit
pnpm run check
# Build
pnpm run build
Security
Security is a top priority for this project. We employ multiple layers of automated security measures:
- Automated Scanning: Dependabot, CodeQL, and custom security audits
- Pre-commit Protection: Security checks run before every commit
- CI/CD Gates: All PRs must pass security scans before merging
- License Compliance: All dependencies are validated for approved licenses
For more details, see SECURITY.md.
To report a security vulnerability, please use GitHub Security Advisories.
Contributing
We welcome contributions! See CONTRIBUTING.md for details.
License
Author
Yuji
Установить Cc Recommender в Claude Desktop, Claude Code, Cursor
unyly install cc-recommenderСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add cc-recommender -- npx -y cc-recommenderFAQ
Cc Recommender MCP бесплатный?
Да, Cc Recommender MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Cc Recommender?
Нет, Cc Recommender работает без API-ключей и переменных окружения.
Cc Recommender — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Cc Recommender в Claude Desktop, Claude Code или Cursor?
Открой Cc Recommender на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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