Mother MCP Skills
Automatically discovers and installs AI skills for your project's tech stack, supporting Claude, Copilot, Codex, and other MCP-compatible agents.
README
Mother MCP Skills
The npm for AI agent skills. A Model Context Protocol (MCP) server that automatically provisions the right skills for your project — across Claude Code, GitHub Copilot, OpenAI Codex, and Vercel v0.
Just like npm discovers and installs the packages you need, Mother MCP discovers and installs the AI skills your project needs.
How It Works
Mother MCP is a consumer of the agent_skills_directory — the central catalog of AI skills from providers like Anthropic, OpenAI, GitHub, Vercel, and the community.
┌─────────────────────────────────────────────────────────────────┐
│ agent_skills_directory │
│ The canonical source of AI skills (112+ skills, 6 providers) │
│ • GitHub stars, downloads, verification status │
│ • Skill metadata, provider info, compatibility │
└────────────────────────────┬────────────────────────────────────┘
│ fetches catalog
▼
┌─────────────────────────────────────────────────────────────────┐
│ Mother MCP │
│ Consumer & Reporter - detects your stack, installs skills │
│ • Reads quality signals from registry (not generates them) │
│ • Downloads skills to .github/skills, .claude/skills, etc. │
└─────────────────────────────────────────────────────────────────┘
Mother MCP does NOT:
- Generate download counts or star ratings
- Host or maintain the skill registry
- Track usage analytics
Mother MCP DOES:
- Consume the catalog and display skill metadata
- Match skills to your detected tech stack
- Install skills to the right location for your AI agent
Demo
Coming Soon: Interactive demo showing automatic skill detection and installation in seconds.
Resources
📄 Full Documentation — Complete setup guide and feature walkthrough
📊 Visual Overview (PDF) — One-page infographic explaining the architecture
🎬 Video Demo — Coming soon
Supported Agents
| Agent | Status | Detection |
|---|---|---|
| Claude Code | ✅ Full Support | Auto-detected via CLAUDE_CODE env var |
| Claude Desktop | ✅ Full Support | Auto-detected via MCP client info |
| GitHub Copilot | ✅ Full Support | Auto-detected via VS Code environment |
| OpenAI Codex | ✅ Full Support | Auto-detected via CODEX_HOME env var |
| Vercel v0 | ✅ Full Support | Auto-detected via project structure |
| Other MCP Clients | ✅ Generic Support | Falls back to generic profile |
Why Reusable Skills Matter
"If you'll do roughly the same thing 10+ times, encode it as a reusable skill. Under 3 times? Just tell Sonnet."
The Problem with "Just Ask the AI"
You can ask Claude to help with any task ad-hoc. But for teams and repeated workflows, this approach breaks down:
| Pain Point | What Happens | How Mother Solves It |
|---|---|---|
| Prompt Tax | Re-typing similar prompts wastes hours weekly | Skills encode best practices once, reuse forever |
| Prompt Drift | Small phrasing changes alter behavior unpredictably | Versioned skills deliver consistent results |
| Discoverability | "What was that good prompt you used last month?" | Named skills with descriptions, searchable registry |
| Onboarding | New devs spend days configuring AI context | setup → perfect context in seconds |
| House Style | Everyone crafts prompts differently | Shared skills encode team standards |
Where Skills Add Real Value
✅ High-value (use skills)
- Repeated SDLC steps: PR reviews, security checks, test generation, docs
- Org-specific knowledge: architecture rules, domain models, compliance
- Cross-project utilities: dependency upgrades, migrations, repo analysis
❌ Low-value (just prompt)
- Quick throwaway scripts or spikes
- Highly unique one-off tasks
The Before/After
Without Mother (prompt tax every time):
Hey Claude, review this PR for security issues. Check for SQL injection,
XSS, also we use React so watch for dangerouslySetInnerHTML, and our
team prefers early returns, and don't forget we have a custom auth
middleware pattern, and...
With Mother (skill already knows your stack):
/review
The skill knows your framework, your patterns, your team's standards — because it was installed based on your actual project context.
What It Does
Mother MCP automatically:
- Detects your project's tech stack using a 3-tier strategy:
- GitHub SBOM API for accurate dependency data (340+ packages)
- Specfy analyser for 700+ technologies including infrastructure & SaaS
- Local scanning as offline fallback
- Matches detected technologies to available skills from trusted registries
- Downloads relevant skills to the appropriate location (
.github/skills,.claude/skills, or.codex/skills) - Adapts to whichever AI agent you're using (Claude, Copilot, or Codex)
Installation
Claude Code Plugin (Easiest)
Install via Claude Code's plugin marketplace:
# Add the marketplace
/plugin marketplace add dmgrok/mcp_mother_skills
# Install the plugin
/plugin install mother-mcp@mother-mcp-marketplace
Or install directly from GitHub:
/plugin install dmgrok/mcp_mother_skills
Once installed, the Mother MCP server will be available in Claude Code.
Quick Install via npm
# Install globally
npm install -g mcp-mother-skills
# Or use with npx (no install needed)
npx mcp-mother-skills
From Source
# Clone the repository
git clone https://github.com/dmgrok/mcp-mother-skills.git
cd mcp-mother-skills
# Install dependencies
npm install
# Build
npm run build
Configuration
Claude Code
Add to your project's .mcp.json or global config:
{
"mcpServers": {
"mother-skills": {
"command": "npx",
"args": ["mcp-mother-skills"],
"env": {
"MOTHER_PROJECT_PATH": "."
}
}
}
}
Or if installed globally:
{
"mcpServers": {
"mother-skills": {
"command": "mcp-mother-skills",
"env": {
"MOTHER_PROJECT_PATH": "."
}
}
}
}
Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"mother-skills": {
"command": "npx",
"args": ["mcp-mother-skills"],
"env": {
"MOTHER_PROJECT_PATH": "/path/to/your/project"
}
}
}
}
Or if installed globally:
{
"mcpServers": {
"mother-skills": {
"command": "mcp-mother-skills",
"env": {
"MOTHER_PROJECT_PATH": "/path/to/your/project"
}
}
}
}
VS Code with Copilot
Add to your VS Code settings or .vscode/mcp.json:
{
"mcp.servers": {
"mother-skills": {
"command": "npx",
"args": ["mcp-mother-skills"],
"env": {
"MOTHER_PROJECT_PATH": "${workspaceFolder}"
}
}
}
}
Or if installed globally:
{
"mcp.servers": {
"mother-skills": {
"command": "mcp-mother-skills",
"env": {
"MOTHER_PROJECT_PATH": "${workspaceFolder}"
}
}
}
}
Usage
Setup (First-Time Onboarding)
When first using Mother MCP, call setup to get started:
Setup my Mother MCP
This will:
- Scan your project to detect technologies (languages, frameworks, databases, tools)
- Fetch the skill registry and find matching skills
- Show recommended skills with match explanations
- Let you choose which skills to install
Sync Skills (Ongoing Updates)
Call sync_skills at the start of each conversation:
Use sync_skills to ensure I have the right skills for this project
This will:
- Detect your project's technologies
- Download matching skills from the registry
- Report what was added/updated/removed
Reset Skills (Start Fresh)
If you need to start over or troubleshoot issues, use reset_skills:
Reset all my Mother MCP skills with confirm=true
Important: You must set confirm=true to proceed with the reset.
Options:
confirm(required): Set totrueto confirm the reset actionall_agents: Remove skills for all agents (Claude, Copilot, Codex), not just the detected oneclear_config: Also remove Mother configuration files (.mcp/mother/)clear_cache: Clear the skill registry cache
Examples:
# Reset only the current agent's skills
reset_skills with confirm=true
# Reset all agents and clear config
reset_skills with confirm=true, all_agents=true, clear_config=true
# Full reset including cache
reset_skills with confirm=true, all_agents=true, clear_config=true, clear_cache=true
This will permanently delete all installed skills. After resetting, run setup to reinstall skills.
Other Commands
| Command | Description |
|---|---|
setup |
Start here! Initialize Mother MCP and get skill recommendations |
sync_skills |
Synchronize skills based on detected technologies |
get_project_context |
View detected stack and installed skills |
get_agent_info |
See which agent is detected (Claude/Copilot/Codex) |
search_skills |
Search for available skills |
list_bundles |
NEW List curated skill bundles by use case |
install_bundle |
NEW Install a complete skill bundle at once |
install_skill |
Manually install a skill |
uninstall_skill |
Remove a skill |
check_updates |
Check for skill updates |
set_agent_preference |
Set preferred agent (auto/claude/copilot/codex/both) |
redetect |
Re-scan project files |
reset_skills |
Reset all skills - Remove all installed skills and optionally clear config |
Skill Bundles
Bundles are curated collections of skills for common development use cases. Instead of installing skills one by one, get a complete stack with one command:
> list_bundles
📦 Available Bundles:
⚛️ frontend-react - Modern React development with TypeScript and testing
🚀 fullstack-nextjs - Complete Next.js stack with database and deployment
🐍 api-python - FastAPI with async patterns and PostgreSQL
🐳 devops-docker - Containerization with GitHub Actions deployment
🧪 testing-frontend - Unit, integration, and E2E testing for web apps
> install_bundle fullstack-nextjs
🚀 Full-Stack Next.js: 7 installed, 0 already present
✅ nextjs, react, typescript, prisma, postgresql, docker, github-actions
Project Configuration
Mother MCP creates a .mcp/mother/ directory in your project:
.mcp/mother/
├── config.yaml # Mother configuration
├── project-context.yaml # Detected context (auto-generated)
└── cache/ # Registry cache
config.yaml
version: "1.0"
agent:
mode: auto # auto, claude, copilot, codex
sync_both: false # Install to both .github/skills and .claude/skills
registry:
- url: "https://cdn.jsdelivr.net/gh/dmgrok/agent_skills_directory@main/catalog.json"
priority: 1
cache:
refresh_interval_days: 7
skills:
always_include: [] # Skills to always install
always_exclude: [] # Skills to never install
sync:
auto_remove: false # Remove skills when no longer detected
Skills Registry
Mother MCP fetches skills from the Agent Skills Directory, an automatically updated catalog aggregating skills from multiple providers:
| Provider | Repository | Skills |
|---|---|---|
| Anthropic | anthropics/skills | 16 |
| GitHub | github/awesome-copilot | 26 |
| OpenAI | openai/skills | 12 |
| HuggingFace | huggingface/skills | 8 |
| Vercel | vercel-labs/agent-skills | 3 |
| SkillCreator.ai | skillcreatorai/Ai-Agent-Skills | 47 |
Total: 112 skills across documents, creative, development, data, enterprise, integrations, and other categories.
Bring Your Own Registry
Want skills tailored for your organization? The registry URL is fully configurable. Just point to your own catalog:
# .mcp/mother/config.yaml
registry:
# Use your company's private registry
- url: "https://skills.yourcompany.com/catalog.json"
priority: 1
# Optionally keep the public registry as fallback
- url: "https://cdn.jsdelivr.net/gh/dmgrok/agent_skills_directory@main/catalog.json"
priority: 2
This lets you:
- Curate skills for your organization's specific tech stack and standards
- Add proprietary skills that encode internal knowledge and patterns
- Control what skills are available to your engineering teams
- Version and audit skills through your own infrastructure
Your private registry just needs to serve a JSON catalog in the same format as the public catalog.
Registry Catalog Format
The registry catalog supports community quality signals - metadata that helps users discover and trust skills:
skills:
- name: react
path: skills/react
version: "1.5.0"
description: "React patterns, hooks, and component architecture"
triggers:
packages: ["react", "react-dom"]
tags: [framework, frontend]
# Community Quality Signals (all optional)
downloads: 28500 # Install count
stars: 523 # GitHub stars
verified: true # Publisher verified badge
publisher:
name: "Mother Skills Team"
url: "https://github.com/mother-mcp"
verified: true
compatibility: # Agent compatibility matrix
claude: true
copilot: true
codex: true
v0: true
repository: "https://github.com/mother-mcp/skills"
| Field | Description |
|---|---|
downloads |
Number of installs (updated by registry maintainer) |
stars |
GitHub stars passthrough from source repo |
verified |
Quick verified badge flag |
publisher |
Publisher info with optional verification |
compatibility |
Which AI agents this skill works with |
repository |
Source repository URL |
These signals are displayed in search results and recommendations to help users choose quality skills.
Available Skills
Documents & Data: pdf, docx, pptx, xlsx, doc-coauthoring
Creative & Design: frontend-design, canvas-design, theme-factory, brand-guidelines, algorithmic-art, web-artifacts-builder
Development: mcp-builder, skill-creator, webapp-testing, internal-comms, create-plan, gh-fix-ci, gh-address-comments
Enterprise: linear, slack-gif-creator, notion-spec-to-implementation, notion-meeting-intelligence, notion-knowledge-capture, notion-research-documentation
Infrastructure: azure-role-selector, snowflake-semanticview
The catalog is refreshed automatically. See catalog.json for the full list.
How Skills Are Matched
Mother MCP uses a tiered detection strategy for comprehensive tech stack analysis:
Tier 1: GitHub SBOM API (Most Accurate)
When connected to a GitHub repository, Mother fetches the Software Bill of Materials directly from GitHub's dependency graph:
- Automatic repo detection from local
.git/configremote URL - Parses SPDX-formatted dependency data with 340+ packages
- PURL parsing for ecosystem detection (npm, pip, cargo, maven, etc.)
- Requires
GITHUB_TOKENenvironment variable
Tier 2: Specfy Stack Analyser
Comprehensive detection of 700+ technologies:
- Languages, frameworks, databases, infrastructure
- SaaS tools, cloud services, CI/CD systems
- Works offline with local file analysis
Tier 3: Local Detection (Fallback)
Traditional file scanning for offline environments:
| Source | What It Detects |
|---|---|
package.json |
npm dependencies (react, next, typescript, etc.) |
requirements.txt |
Python packages (fastapi, django, etc.) |
pyproject.toml |
Python project dependencies |
| Config files | tsconfig.json → TypeScript, Dockerfile → Docker, etc. |
| README.md | Technology mentions with lower confidence |
Git Remote Auto-Detection
Mother automatically detects your GitHub repository from local git configuration:
# Supported URL formats:
git@github.com:owner/repo.git # SSH
https://github.com/owner/repo.git # HTTPS
ssh://git@github.com/owner/repo # SSH URL
Skill Locations
Skills are installed based on detected agent:
| Agent | Primary Path | Fallback |
|---|---|---|
| Claude | .claude/skills/ |
.github/skills/ |
| Copilot | .github/skills/ |
.claude/skills/ |
| Codex | .codex/skills/ |
.github/skills/ |
| Both | Both locations | - |
Agent Detection
Mother MCP auto-detects which agent is using it through multiple methods:
| Priority | Method | Claude | Copilot | Codex |
|---|---|---|---|---|
| 1 | Config override | agent.force: claude |
agent.force: copilot |
agent.force: codex |
| 2 | Environment vars | CLAUDE_CODE=1 |
GITHUB_COPILOT |
CODEX_HOME |
| 3 | MCP client info | Contains "claude" | Contains "copilot"/"vscode" | Contains "codex"/"openai" |
| 4 | Project structure | .claude/ or CLAUDE.md |
.github/copilot-instructions.md |
.codex/skills/ or AGENTS.md |
| 5 | Home directory | ~/.claude/skills/ |
~/.copilot/skills/ |
~/.codex/skills/ |
Note: Codex skills follow the Open Agent Skills Standard specification.
Architecture: Static Instructions vs Dynamic Skills
Mother MCP separates concerns between static project documentation and dynamic skill provisioning:
| Component | Purpose | Managed By |
|---|---|---|
.github/copilot-instructions.md |
Project-specific AI guidance (Copilot) | Developer (static) |
CLAUDE.md |
Claude-specific project instructions | Developer (static) |
AGENTS.md |
Codex/OpenAI project instructions | Developer (static) |
.mcp/mother/config.yaml |
Mother configuration & preferences | Mother MCP |
.mcp/mother/project-context.yaml |
Detected tech stack (auto-generated) | Mother MCP |
.github/skills/ or .claude/skills/ |
Auto-installed skill files | Mother MCP |
Key principle: Mother MCP never modifies your instruction files. It only manages:
- Its own config in
.mcp/mother/ - Skill files in the appropriate skills directory
Recommended Workflow
Add this to your project's CLAUDE.md or .github/copilot-instructions.md:
## Startup
At the start of each conversation, call `sync_skills` to ensure project-relevant skills are loaded.
This connects your static instructions to Mother's dynamic skill system.
Development
# Run in development mode
npm run dev
# Build
npm run build
# Watch mode
npm run watch
Community & Roadmap
Mother MCP is evolving into a community-driven skill ecosystem — the npm for AI skills. Here's what we're building:
Quality Signals (Coming Soon)
| Feature | Description | Status |
|---|---|---|
| ⭐ Skill ratings | Community upvotes/downvotes on skill quality | Planned |
| 📊 Download counts | See how many developers use each skill | Planned |
| ✓ Verified publishers | Trust badges for official sources (Anthropic, GitHub, etc.) | Planned |
| 💬 Reviews & use cases | "Worked great for React 19 + TypeScript" | Planned |
| 🏷️ Compatibility matrix | Works with: Claude ✓, Copilot ✓, Codex ✓ | Planned |
Contribution Tools (Coming Soon)
| Feature | Description | Status |
|---|---|---|
📤 mother publish |
CLI to publish skills to the registry | Planned |
| 📦 Skill templates | Starter templates for common skill types | Planned |
| 🔀 Fork & customize | Base your skill on existing ones | Planned |
| 📚 Skill collections | Curated bundles ("Enterprise Security Pack") | Planned |
How You Can Help
- Star skills you find useful — helps surface quality
- Report issues with skills that have outdated advice
- Contribute skills via PR to agent_skills_directory
- Share your use cases — what skills would help your workflow?
Join the discussion: GitHub Issues
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。