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mcp-skill-hub

@srprasanna/mcp-skill-hub
0 Stars 23 次浏览 srprasanna 更新于 2026-08-23

MCP server that loads and serves skills from a mounted directory with hot reload.

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "docker.io/srprasanna/mcp-skill-hub": {
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/srprasanna/mcp-skill-hub:1.0.0"
      ],
      "command": "docker"
    }
  }
}

可用工具 (5 个)

该服务在 MCP 协议中暴露的工具,AI 可按需调用

tavily_search 14 个参数 需填 1 项

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数:query

tavily_extract 6 个参数 需填 1 项

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数:urls

tavily_crawl 11 个参数 需填 1 项

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数:url

tavily_map 8 个参数 需填 1 项

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数:url

tavily_research 2 个参数 需填 1 项

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数:input

服务介绍

MCP Skills Server


Poetry

MCP Registry
Docker
Docker Pulls

A production-ready Model Context Protocol (MCP) server that dynamically loads and exposes skills from a mounted volume with hot-reloading support.

📦 Available on MCP Registry - Install with one command!

# Features

  • Dynamic Skill Loading: Automatically discovers and loads skills from a directory
  • Hot-Reloading: Detects changes to SKILL.md files and reloads without restart
  • Folder Structure Validation: Enforces best practices with clear error messages
  • MCP Protocol Compliant: Full implementation of resources and tools
  • Production Ready: Comprehensive error handling, logging, and validation
  • Docker Support: Run in containers with volume mounting
  • Type Safe: Full type hints using Python 3.13 features
  • Well Tested: >80% code coverage with comprehensive test suite

# Table of Contents

  • [Skills Directory Structure](# skills-directory-structure)
  • [Quick Start](# quick-start)
  • [Installation](# installation)
  • [Usage](# usage)
  • [Configuration](# configuration)
  • [Skill File Format](# skill-file-format)
  • [MCP Resources and Tools](# mcp-resources-and-tools)
  • [Development](# development)
  • [Troubleshooting](# troubleshooting)
  • [Contributing](# contributing)
  • [License](# license)

# Skills Directory Structure

CRITICAL REQUIREMENT: Each skill MUST be in its own dedicated folder within the skills directory. The server will ONLY recognize skills that follow this structure.

# # ✅ Valid Structure

your-skills-directory/
├── skill-one/
│   └── SKILL.md          ← Required
├── skill-two/
│   ├── SKILL.md          ← Required
│   └── examples/         ← Optional
│       └── example.py
└── skill-three/
    ├── SKILL.md
    ├── examples/
    │   └── demo.py
    └── templates/
        └── template.txt

# # ❌ Invalid Structures (Will Be Ignored)

your-skills-directory/
├── SKILL.md                  ❌ Not in a folder - WILL BE SKIPPED
├── random-file.txt           ❌ Not a skill folder
├── .hidden-folder/           ❌ Hidden folder - WILL BE SKIPPED
│   └── SKILL.md
└── __pycache__/              ❌ System folder - WILL BE SKIPPED
    └── SKILL.md

# # Folder Naming Conventions

Valid folder names:

  • Lowercase with hyphens: my-skill-name
  • Lowercase with underscores: excel_advanced
  • Alphanumeric: skill-name-v2

Invalid (will be skipped):

  • Hidden folders starting with .
  • Private folders starting with _
  • System folders: __pycache__, node_modules, .git, etc.

# Quick Start

# # Using Docker (Recommended)

  1. Create your skills directory:
mkdir -p ~/claude-skills/my-first-skill
  1. Create a skill file:
cat > ~/claude-skills/my-first-skill/SKILL.md << 'EOF'
- --
name: "my-first-skill"
description: "My first Claude skill"
- --

#  My First Skill

This is my first skill for Claude!

# #  Usage

Simply describe what your skill does here.
EOF
  1. Run the server:
docker run -i - -rm \
  -v ~/claude-skills:/skills:ro \
  mcp-skill-hub

# # Using Poetry (Development)

  1. Clone and install:
git clone https://github.com/srprasanna/mcp-skill-hub.git
cd mcp-skill-hub
poetry install
  1. Create your skills directory:
mkdir -p ~/claude-skills/my-first-skill
#  Create SKILL.md as shown above
  1. Run the server:
export MCP_SKILLS_DIR=~/claude-skills
poetry run mcp-skills

# Installation

# # Prerequisites

  • Python 3.13+ (for development)
  • Poetry 1.7+ (for dependency management)
  • Docker (optional, for containerized deployment)

# # Install with Poetry

#  Clone the repository
git clone https://github.com/srprasanna/mcp-skill-hub.git
cd mcp-skill-hub

#  Install dependencies
poetry install

#  Verify installation
poetry run mcp-skills - -help

# # Build Docker Image

#  Build the image
docker build -t mcp-skill-hub .

#  Or use docker-compose
docker-compose build

# Usage

# # Running Locally

#  Set the skills directory
export MCP_SKILLS_DIR=/path/to/your/skills

#  Run the server
poetry run mcp-skills

# # Running with Docker

docker run -i - -rm \
  -v /path/to/your/skills:/skills:ro \
  -e MCP_SKILLS_LOG_LEVEL=INFO \
  mcp-skill-hub

# # Running with Docker Compose

#  Edit docker-compose.yml to set your skills directory path
docker-compose up mcp-skills

# # Integrating with Claude Desktop

Add to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "skills": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "- -rm",
        "-v",
        "${HOME}/claude-skills:/skills:ro",
        "mcp-skill-hub"
      ]
    }
  }
}

Or using Poetry:

{
  "mcpServers": {
    "skills": {
      "command": "poetry",
      "args": ["run", "mcp-skills"],
      "cwd": "/path/to/mcp-skill-hub",
      "env": {
        "MCP_SKILLS_DIR": "/path/to/your/skills"
      }
    }
  }
}

Important: Make sure your ${HOME}/claude-skills directory contains skill folders, not loose SKILL.md files!

# Configuration

Configuration is done via environment variables with the prefix MCP_SKILLS_:

| Variable | Default | Description |
|- -- -- -- -- -|- -- -- -- --|- -- -- -- -- -- --|
| MCP_SKILLS_DIR | /skills | Root directory containing skill folders |
| MCP_SKILLS_HOT_RELOAD | true | Enable automatic reloading |
| MCP_SKILLS_DEBOUNCE_DELAY | 0.5 | Delay (seconds) before reload |
| MCP_SKILLS_LOG_LEVEL | INFO | Log level (DEBUG, INFO, WARNING, ERROR) |
| MCP_SKILLS_SCAN_DEPTH | 1 | Scan depth (always 1) |

# # Example .env File

MCP_SKILLS_DIR=/path/to/skills
MCP_SKILLS_HOT_RELOAD=true
MCP_SKILLS_DEBOUNCE_DELAY=0.5
MCP_SKILLS_LOG_LEVEL=INFO

# Skill File Format

Skills are defined in SKILL.md files with YAML frontmatter:

# # Minimal Example

- --
name: "my-skill"
description: "Brief description"
- --

#  My Skill

Your skill content here in Markdown.

# # Complete Example

- --
#  Required fields
name: "excel-advanced"
description: "Advanced Excel automation techniques"

#  Version and authorship
version: "1.2.0"
author: "Your Name"
created: "2025-01-15"
updated: "2025-10-23"

#  Dependencies
dependencies:
  python: ["openpyxl>=3.0.0", "pandas>=2.0.0"]
  system: ["libreoffice"]

#  Categorization
category: "office-automation"
tags: ["excel", "spreadsheet", "automation"]
complexity: "intermediate"  #  beginner|intermediate|advanced

#  Usage guidance
when_to_use:
  - "Automating Excel report generation"
  - "Processing multiple Excel files"
  - "Creating complex formulas programmatically"

#  Relationships
related_skills: ["csv-processing", "data-analysis"]

#  Examples
has_examples: true
example_files: ["examples/report_generator.py", "templates/report_template.xlsx"]
- --

#  Excel Advanced Automation

This skill covers advanced Excel automation techniques...

# #  Features

- Automated report generation
- Formula creation
- Bulk processing

# #  Examples

See `examples/report_generator.py` for a working example.

# # Available Metadata Fields

Required:

  • name: Unique identifier (kebab-case recommended)
  • description: Brief description

Optional:

  • version: Semantic version
  • author: Creator name
  • created, updated: ISO dates (YYYY-MM-DD)
  • dependencies: Python packages or system tools
  • category: Main category for grouping
  • tags: Array of tags for search
  • complexity: beginner, intermediate, or advanced
  • when_to_use: Array of usage scenarios
  • related_skills: Names of related skills
  • has_examples: Boolean flag
  • example_files: Paths to example files (relative to skill folder)

# MCP Resources and Tools

# # Resources

The server exposes these MCP resources:

  1. skill://catalog - JSON catalog of all skills with metadata
  2. skill://{name} - Individual skill markdown content

# # Tools

Four tools are available for interacting with skills:

# # # 1. search_skills

Search for skills by query, category, tag, or complexity.

{
  "query": "excel",
  "category": "office-automation",
  "tag": "automation",
  "complexity": "intermediate"
}

# # # 2. reload_skills

Manually trigger a reload of all skills from the directory.

{}

# # # 3. get_skill_info

Get metadata for a specific skill without loading full content.

{
  "name": "excel-advanced"
}

# # # 4. list_skill_folders

List all valid skill folders found in the skills directory.

{}

# Development

# # Setup Development Environment

#  Clone repository
git clone https://github.com/srprasanna/mcp-skill-hub.git
cd mcp-skill-hub

#  Install dependencies (including dev dependencies)
poetry install

#  Activate virtual environment
poetry shell

# # Running Tests

#  Run all tests
poetry run pytest

#  Run with coverage
poetry run pytest - -cov=mcp_skills - -cov-report=html

#  Run specific test file
poetry run pytest tests/test_scanner.py

#  Run with verbose output
poetry run pytest -v

# # Code Quality

#  Format code
poetry run black .

#  Lint code
poetry run ruff check .

#  Type checking
poetry run mypy src

#  Run all quality checks
poetry run black . && poetry run ruff check . && poetry run mypy src

# # Development Workflow

  1. Create a branch:

    git checkout -b feature/my-feature
    
  2. Make changes and test:

    poetry run pytest
    poetry run mypy src
    
  3. Format and lint:

    poetry run black .
    poetry run ruff check .
    
  4. Commit and push:

    git commit -m "Add feature: description"
    git push origin feature/my-feature
    

# # Project Structure

mcp-skill-hub/
├── src/mcp_skills/          #  Source code
│   ├── models/              #  Data models
│   ├── parsers/             #  Skill parsers
│   ├── storage/             #  Repository pattern
│   ├── scanner.py           #  Directory scanning
│   ├── watcher.py           #  Hot-reload watcher
│   ├── server.py            #  MCP server
│   ├── config.py            #  Configuration
│   └── __main__.py          #  CLI entry point
├── tests/                   #  Test suite
├── examples/                #  Example skills
├── docs/                    #  Documentation
└── pyproject.toml           #  Poetry configuration

# Troubleshooting

# # Common Issues

# # # Skills Not Loading

Problem: No skills are loaded when the server starts.

Solution:

  1. Check that your skills are in dedicated folders:
    /skills/my-skill/SKILL.md  ✓
    /skills/SKILL.md           ✗
    
  2. Verify folder names don't start with . or _
  3. Check logs for detailed error messages

# # # Hot-Reload Not Working

Problem: Changes to SKILL.md files aren't detected.

Solution:

  1. Ensure MCP_SKILLS_HOT_RELOAD=true
  2. Check file is named exactly SKILL.md
  3. Verify file is in a valid skill folder
  4. Look for file watcher errors in logs

# # # Parsing Errors

Problem: SKILL.md files fail to parse.

Solution:

  1. Validate YAML frontmatter syntax
  2. Ensure frontmatter is between - -- delimiters
  3. Check required fields (name, description) are present
  4. Use a YAML validator to check syntax

# # Validation Command

Check your skills directory structure:

poetry run mcp-skills - -validate

Expected output:

✓ /skills/excel-advanced: Valid skill
✓ /skills/python-automation: Valid skill
✗ /skills/SKILL.md: Error - Skills must be in folders
✗ /skills/.hidden: Skipped - Hidden folder
⚠ /skills/empty-folder: Warning - No SKILL.md found

Summary: 2 valid, 1 error, 1 warning, 1 skipped

# # Logging

Enable debug logging for detailed information:

export MCP_SKILLS_LOG_LEVEL=DEBUG
poetry run mcp-skills

Logs include:

  • Folder structure validation messages
  • Scan progress and results
  • Parse successes and failures
  • Hot-reload events
  • Detailed error context

# Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

# # Quick Contributing Guide

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes with tests
  4. Ensure all tests pass and code is formatted
  5. Submit a pull request

# # Code Standards

  • Python 3.13+ with type hints
  • Black for formatting (88 char line length)
  • Ruff for linting
  • Mypy for type checking (strict mode)
  • Pytest for testing (>80% coverage)

# Releases

This project uses automated releases via GitHub Actions.

# # Creating a Release

  1. Go to ActionsRelease workflow
  2. Click Run workflow
  3. Choose version bump type:
    • patch - Bug fixes (0.1.0 → 0.1.1)
    • minor - New features (0.1.0 → 0.2.0)
    • major - Breaking changes (0.1.0 → 1.0.0)
    • Or specify exact version (e.g., 1.2.3)
  4. Select Docker registry (docker.io or ghcr.io)
  5. Click Run workflow

The workflow will:

  • ✅ Bump version in pyproject.toml
  • ✅ Create Git tag and GitHub release
  • ✅ Build and push Docker image
  • ✅ Run tests to verify release

Docker Images:

  • Docker Hub: {username}/mcp-skill-hub:{version}
  • GitHub: ghcr.io/{owner}/mcp-skill-hub:{version}

See RELEASING.md for detailed release documentation.

# License

This project is licensed under the MIT License - see the LICENSE file for details.

# Acknowledgments

  • Built with MCP Python SDK
  • Inspired by the need for dynamic skill management in Claude
  • Thanks to all contributors!

Note: This server makes it impossible to misunderstand the folder structure requirement through:

  • Clear error messages with folder context
  • Comprehensive logging
  • Validation at multiple levels
  • Detailed documentation
  • Working examples

Each skill MUST be in its own folder. This design decision ensures clean organization, easy management, and unambiguous structure. 🎯

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