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Skill MCP Server


Skill MCP Server is a Model Context Protocol (MCP) server that enables AI agents like Claude to dynamically load and use modular "skills".

Think of it as a plugin system for AI agents — drop a skill folder into the directory, and your agent instantly gains new capabilities. No coding required, no server restarts needed.

Why Skill MCP Server?

Traditional Approach

With Skill MCP Server

Write code to extend agent capabilities

Just copy a folder

Restart services to apply changes

Hot reload, instant availability

Each capability developed separately

Community-shared, plug-and-play

Complex integration work

Zero configuration

Features

  • Instant Capability Extension — Drop skill folders, gain superpowers

  • Zero Configuration — Skills are auto-discovered and loaded

  • Hot Reload — Add new skills without restarting the server

  • Multi-Language Scripts — Execute Python, Shell, JavaScript, TypeScript

  • Secure by Design — Path validation, sandboxed file operations

  • Resource Bundling — Include templates, references, and assets with skills

Quick Start

Installation

# Using pip pip install skill-mcp-server # Using uv (recommended) uv pip install skill-mcp-server

30-Second Setup

# 1. Create a skills directory mkdir skills # 2. Download or create a skill (example: copy the skill-creator) cp -r examples/skill-creator skills/ # 3. Start the server skill-mcp-server --skills-dir ./skills

That's it! Your AI agent can now use the skill.

Configure with Claude Desktop

Add to your claude_desktop_config.json:

{ "mcpServers": { "skill-server": { "command": "skill-mcp-server", "args": ["--skills-dir", "/path/to/your/skills"] } } }

Configure with Claude Code

Add to your ~/.claude.json:

{ "mcpServers": { "skill-server": { "command": "skill-mcp-server", "args": [ "--skills-dir", "/path/to/your/skills", "--workspace", "/path/to/workspace" ] } } }

How It Works

┌─────────────────────────────────────────────────────────────────┐ │ AI Agent (Claude) │ └─────────────────────────────────────────────────────────────────┘ │ │ MCP Protocol ▼ ┌─────────────────────────────────────────────────────────────────┐ │ Skill MCP Server │ │ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │ │ │ skill │ │ skill_ │ │ skill_ │ │ file_ │ │ │ │ loader │ │ resource │ │ script │ │ ops │ │ │ └───────────┘ └───────────┘ └───────────┘ └───────────┘ │ └─────────────────────────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────┐ │ Skills Directory │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ data-analyst│ │ doc-writer │ │ api-helper │ ... │ │ │ SKILL.md │ │ SKILL.md │ │ SKILL.md │ │ │ │ scripts/ │ │ templates/ │ │ references/│ │ │ └─────────────┘ └─────────────┘ └─────────────┘ │ └─────────────────────────────────────────────────────────────────┘

Available MCP Tools

Tool

Description

skill

Load a skill to get detailed instructions

list_skills

List all available skills

skill_resource

Read resource files from a skill

skill_script

Execute scripts bundled with a skill

file_read

Read files from workspace

file_write

Write files to workspace

file_edit

Edit existing files in workspace

Creating Skills

A skill is simply a folder containing a SKILL.md file:

my-skill/ ├── SKILL.md # Required: Instructions for the AI ├── scripts/ # Optional: Executable scripts │ └── process_data.py ├── references/ # Optional: Reference documentation │ └── api_docs.md └── assets/ # Optional: Templates, images, etc. └── report_template.md

SKILL.md Format

--- name: my-skill description: Brief description of what this skill does and when to use it --- # My Skill ## Overview Explain what this skill enables the AI to do. ## Usage Step-by-step instructions for the AI agent... ## Available Resources - `scripts/process_data.py` - Process input data - `assets/report_template.md` - Output template

Example: Data Analyst Skill

--- name: data-analyst description: Analyze CSV data and generate insights reports --- # Data Analyst ## When to Use Use this skill when the user wants to: - Analyze CSV or tabular data - Generate statistical summaries - Create data visualizations ## Workflow 1. Read the data file using `file_read` 2. Execute `scripts/analyze.py` for statistical analysis 3. Use `assets/report_template.md` to format the output 4. Write the report using `file_write`

Use Cases

  • Data Analysis — Agent becomes a data scientist

  • Document Generation — Agent creates professional documents

  • API Integration — Agent works with specific APIs

  • Code Review — Agent follows your team's standards

  • DevOps Tasks — Agent automates deployment workflows

Documentation

Development

# Clone the repository git clone https://github.com/your-org/skill-mcp-server.git cd skill-mcp-server # Install development dependencies uv pip install -e ".[dev]" # Run tests pytest # Run linting ruff check src/

Contributing

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

License

MIT License - see LICENSE for details.


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