AIBase
EN
Explore
Local Skills MCP
L

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
8.5K
Open Site

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.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
13.9K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
7.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
7.6K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.0K
4 points
P
Paperbanana
Python
8.8K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.0K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
8.5K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
27.4K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
76.5K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.9K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
35.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
67.0K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.5K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
52.7K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase