Minimalist Knowledge Base MCP

Minimalist Knowledge Base MCP

Enables LLMs to manage file-based knowledge bases with dual storage (Markdown + SQLite). Supports creating, searching, and organizing articles across multiple knowledge bases with full-text search capabilities.

Category
访问服务器

README

Minimalist Knowledge Base MCP

CI npm version

A minimalist, file-based knowledge base server designed to be operated programmatically by Large Language Models (LLMs) and developers. It functions as a headless MCP (Model Context Protocol) server, exposing a suite of tools for managing knowledge.

Features

  • Multi-Knowledge Base Support: Manage multiple independent knowledge bases
  • Dual Storage System:
    • Markdown files as the source of truth
    • SQLite database for efficient indexing and searching
  • Full-Text Search: Using SQLite FTS5
  • Cross-Platform: Works on Windows, macOS, and Linux
  • LLM-First Design: Built specifically for LLM interaction via MCP

Installation

First, authenticate with GitHub Packages:

# Create or edit ~/.npmrc
echo "@cmwen:registry=https://npm.pkg.github.com" >> ~/.npmrc
# You'll need a GitHub personal access token with `read:packages` scope

Then install the package:

npm install @cmwen/min-kb-mcp

Or run directly with:

npx @cmwen/min-kb-mcp

Quick Start

  1. Start the MCP server for a new knowledge base:

    npx min-kb-mcp start --kb my-notes
    
  2. The server will create:

    • A directory for your knowledge base in the standard application support location
    • A SQLite database for indexing
    • An articles directory for markdown files

Storage Structure

Files are stored in your system's standard application support directory:

  • macOS: ~/Library/Application Support/min-kb-mcp/<kb-name>/
  • Linux: ~/.local/share/min-kb-mcp/<kb-name>/
  • Windows: %APPDATA%\\min-kb-mcp\\<kb-name>\\

Each knowledge base contains:

  • <kb-name>.sqlite: The SQLite database file
  • articles/: Directory containing markdown files

MCP Tools

The following tools are available to LLMs through the MCP server:

  • createArticle: Create a new article with content and optional keywords
  • getArticle: Retrieve an article by ID
  • updateArticle: Update an existing article's content and keywords
  • deleteArticle: Delete an article
  • searchArticles: Full-text search with optional time filters
  • findLinkedArticles: Find articles sharing keywords
  • getArticlesByTimeRange: Get articles within a time range
  • listArticles: List all articles
  • getArticleStats: Get statistics about the knowledge base

Development

Prerequisites

  • Node.js 18 or higher
  • npm or yarn

Setup

  1. Clone the repository:

    git clone git@github.com:cmwen/min-kb-mcp.git
    cd min-kb-mcp
    
  2. Install dependencies:

    npm install
    
  3. Run in development mode:

    npm run start -- --kb test-kb
    

Scripts

  • npm start: Start the MCP server in standard stdio mode
  • npm run dev: Start the development server with HTTP transport on port 9876
  • npm run build: Build the TypeScript code
  • npm run lint: Run ESLint
  • npm run format: Format code with Prettier

Development Server

The project supports two transport modes:

  1. Standard Mode (stdio):

    npm start -- --kb my-kb
    

    This is the default mode, suitable for production use with LLM integrations.

  2. Development Mode (HTTP):

    npm run dev
    

    This starts a development server that:

    • Uses HTTP transport instead of stdio
    • Runs on port 9876
    • Creates a 'dev-kb' knowledge base
    • Enables CORS for browser clients
    • Supports multiple concurrent connections
    • Provides better debugging capabilities

You can also customize the transport mode and port using environment variables:

MCP_TRANSPORT=http MCP_PORT=3000 npm start -- --kb my-kb

Using MCP Inspector

When running in development mode, you can use the MCP Inspector to interact with your server:

  1. Start the development server:

    npm run dev
    
  2. Open MCP Inspector and connect to:

    http://localhost:9876/mcp
    

The inspector allows you to:

  • Browse available tools and resources
  • Execute tools with different parameters
  • View server responses and error messages
  • Test server functionality interactively

This is particularly useful for:

  • Development and debugging
  • Testing new features
  • Understanding tool behavior
  • Verifying error handling

Contributing

Contributions are welcome! Please read our Contributing Guidelines for details on our code of conduct and the process for submitting pull requests.

License

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

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选