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Local Skills MCP
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Local Skills MCP

A general-purpose Model Context Protocol (MCP) server that allows any LLM or AI agent to access expert skills in the local file system. Enables cross-platform skill sharing through structured prompts and supports lazy loading to save context tokens.
Developer toolsKnowledge management and memory#Local Skills#MCP Protocol#AI Agent#Skill Sharing.TypeScript
2.5 points
0
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Overview

Installation

Tools List

Content Details

Alternatives

What is Local Skills MCP?

Local Skills MCP is an intelligent skill management system that allows you to write professional knowledge and best practices into 'skills', which can then be used by any AI assistant supporting the MCP protocol (e.g., Claude, GPT, etc.). Imagine you've created a 'Code Review Expert' skill. Then, whether it's Claude Desktop, Claude Code, or other AI tools, they can all invoke this skill to help you review code. It's like a portable expert knowledge base that makes AI assistants more professional and better understand your needs.

How to use Local Skills MCP?

It's very simple to use: 1. Install the Local Skills MCP server. 2. Configure the MCP connection in your AI tool. 3. Create or import skill files. 4. Let the AI assistant invoke the skills. There's no need to restart the server throughout the process, and skill modifications take effect immediately. You can share skills across multiple projects or create exclusive skills for specific projects.

Use cases

Local Skills MCP is particularly suitable for the following scenarios: • Team knowledge sharing: Standardize the team's best practices into skills. • Personal workflow optimization: Create personalized AI assistant skills. • Unified experience across multiple tools: Maintain consistent expert capabilities across different AI tools. • Offline work: Local skills don't require an internet connection. • Sensitive data processing: All skills and data are stored locally.

Main Features

🌐 Universal Compatibility
Supports all MCP-compatible clients, including Claude Code, Claude Desktop, Cline, Continue.dev, etc., as well as any custom AI agents.
🔄 Portable Skills
Write skills once and use them across all supported AI systems. Skill files are in standard Markdown format, making them easy to create and maintain.
⚡ Context-Efficient
Intelligent lazy-loading mechanism: Initially, only the skill name and description (about 50 tokens) are loaded, and the full content is loaded on demand, greatly saving context space.
🔥 Hot Reload
Skill modifications take effect immediately without restarting the server. Adding, editing, or deleting skills is updated in real-time.
🎯 Multi-Source Aggregation
Automatically aggregates skills from multiple directories: built-in skills, global skill directories, project-specific directories, etc., supporting priority overrides.
📦 Zero-Configuration Startup
Out-of-the-box, it automatically discovers skills in standard directories. Custom skill directory configuration is also supported.
Advantages
Cross-platform compatibility: Supports all major AI assistants and MCP clients.
Local-first: All skills and data are stored locally, protecting privacy and security.
Efficient and intelligent: The lazy-loading mechanism significantly reduces token consumption.
Easy to expand: Simple Markdown format allows non-technical personnel to create skills.
Real-time updates: Skill modifications take effect immediately without restarting.
Flexible configuration: Supports multi-level directories and different skill sets can be used for different projects.
Limitations
Requires manual configuration: The MCP connection needs to be configured in the AI tool for the first use.
Skill quality depends on the user: The effectiveness of skills depends on the writing quality.
Only supports MCP-compatible tools: Does not support AI tools that do not use the MCP protocol.
Requires basic technical knowledge: Installation and configuration require some command-line operation skills.

How to Use

Install Local Skills MCP
Install the Local Skills MCP server globally via npm.
Configure the AI Tool
Add the MCP server configuration to the AI tool you're using. Take Claude Code as an example, edit the configuration file:
Add Configuration Content
Add the Local Skills MCP server configuration to the configuration file:
Create Skills
Create skill files in the skill directory. The simplest way is to directly ask the AI to create them for you:
Use Skills
Request to use specific skills in the AI conversation:

Usage Examples

Code Review Expert
Create a professional code review skill to help the team maintain code quality consistency.
API Documentation Writing
Create an API documentation writing skill to automatically generate standardized API documentation based on the code.
Git Commit Specification
Create a Git commit message specification skill to help the team standardize the commit message format.

Frequently Asked Questions

Which AI tools does Local Skills MCP support?
Where are the skill files stored?
Do I need to restart after modifying skills?
How to create effective skills?
Does this tool require an internet connection?
Can I override built-in skills?

Related Resources

GitHub Repository
Project source code, issue tracking, and contribution guidelines.
npm Package Page
Installation package information and version history.
Model Context Protocol Official Website
Official documentation and specifications for the MCP protocol.
Skill Writing Guide
Detailed instructions on the skill file format and best practices.
MCP Compression Proxy
Companion tool: Compress MCP tool descriptions to further save tokens.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "local-skills": {
      "command": "local-skills-mcp"
    }
  }
}

{
  "mcpServers": {
    "local-skills": {
      "command": "node",
      "args": ["/absolute/path/to/local-skills-mcp/dist/index.js"]
    }
  }
}

{
  "mcpServers": {
    "local-skills": {
      "command": "local-skills-mcp",
      "env": {
        "SKILLS_DIR": "/custom/path/to/skills"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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